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Publications

2011

Journal Articles

[1] Dan He, Xingquan Zhu, and Xindong Wu, Approximate Repeating Pattern Mining with Gap Requirements, Computational Intelligence, Accepted on June 02 2010, In Press. [ARC Ranking A, JCI: 5.378]

[2] Qinghua Huang, Dacheng Tao, Xuelong Li and Lianwen Jin, “A Novel Unsupervised Feature Ranking Algorithm Based on Local Coherent Patterns Discovery,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMCB), accepted on Apr. 8 2011, In press, [ARC Ranking A, JCI: 3.007]

[3] Bo Geng, Dacheng Tao and Chao Xu, “DAML: Domain Adaptation Metric Learning,” IEEE Transactions on Image Processing (T-IP), accepted on Mar. 14 2011, In press, [ARC Ranking A*, JCI: 2.848]

[4] Xinbo Gao, Qian Wang, Xuelong Li, Dacheng Tao and Kaibin Zhang, “Zernike Moment-based Image Super Resolution,” IEEE Transactions on Image Processing (T-IP), accepted on Mar. 7 2011, In press, [ARC Ranking A*, JCI: 2.848]

[5] Xinbo Gao, Jinguang Chen, Dacheng Tao and Xuelong Li, “Multi-sensor Centralized Fusion without Measurement Noise Covariance by Variational Bayesian Approximation,” IEEE Transactions on Aerospace and Electronic Systems (T-AES), 47(1): 718-727, 2011 [ARC Ranking A, JCI: 1.23]

[6] Jun Cheng, Maoying Qiao, Wei Bian and Dacheng Tao, “3D Human Posture Segmentation by Spectral Clustering with Surface Normal Constraint,” Signal Processing (Elsevier), accepted on Feb. 26 2011, In press, [ARC Ranking A, JCI: 1.135]

[7] Naiyang Guan, Dacheng Tao, Zhigang Luo and Bo Yuan, “Manifold Regularized Discriminative Non-negative Matrix Factorization with Fast Gradient Descent,” IEEE Transactions on Image Processing (T-IP), accepted on Jan. 13 2011, In press, [ARC Ranking A*, JCI: 2.848]

[8] Xinchao Wang, Zhu Li and Dacheng Tao, “Subspaces Indexing Model on Grassmann Manifold for Image Search,” IEEE Transactions on Image Processing (T-IP), accepted on Feb. 14 2011, In press, [ARC Ranking A*, JCI: 2.848]
[9] Bo Xie, Meng Wang and Dacheng Tao, “Towards the Optimization of Normalized Graph Laplacian,” IEEE Transactions on Neural Networks (T-NN), 22(4): 660-666, 2011 [ARC Ranking A*, JCI: 2.889]

[10] Bo Xie, Yang Mu, Dacheng Tao and Kaiqi Huang, “m-SNE: Multiview Stochastic Neighbor Embedding,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMCB), accepted on Feb. 3 2011, In press, [ARC Ranking A, JCI: 3.007]

[11] Si Si, Wei Liu, Dacheng Tao and Kwok-Ping Chan, “Distribution Calibration in Riemannian Symmetric Space,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMCB), accepted on Jan. 6 2011, In press, [ARC Ranking A, JCI: 3.007]

[12] Xinbo Gao, Bin Wang, Dacheng Tao and Xuelong Li, “A Relay Level Set Method for Automatic Image Segmentation,” IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMCB), 41(2): 518-525, 2011 [ARC Ranking A, JCI: 3.007]

[13] Ying Wang, Dacheng Tao, Xinbo Gao, Xuelong Li and Bin Wang, “Feature Embedded Vector-valued Contour-based Level Set Method with Relaxed Shape Constraint for Mammographic Mass Segmentation,” Pattern Recognition (Elsevier), accepted on Aug. 10 2010, In press, [ARC Ranking A*, JCI: 2.554]

[14] Xinbo Gao, Xiumei Wang, Xuelong Li and Dacheng Tao, “Transfer Latent Variable Model Based on Divergence Analysis,” Pattern Recognition (Elsevier), accepted on June 19 2010, In press, [ARC Ranking A*, JCI: 2.554]

[15] Wei Bian and Dacheng Tao, “Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 33(5): 1037-1050, 2011 [ARC Ranking A*, JCI: 4.378]

[16] Tianyi Zhou, Dacheng Tao and Xindong Wu, “Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction,” Data Mining and Knowledge Discovery (Springer), 22(3): 340-371, 2011 [ARC Ranking A, JCI: 2.95]

[17] Kaiqi Huang, Dacheng Tao, Yuan Yuan, Xuelong Li and Tieniu Tan, “Biologically Inspired Features for Scene Classification in Video Surveillance,” IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMCB), 41(1): 307-313, 2011 [ARC Ranking A, JCI: 3.007]

[18] Xinbo Gao, Rong Fu, Xuelong Li, Dacheng Tao, B. Zhang and H. Yang, “Aurora Image Segmentation by Combining Patch and Texture Thresholding,” Computer Vision and Image Understanding (Elsevier), 115(3): 390-342, 2011 [ARC Ranking A, JCI: 1.676]

[19] Luming Zhang, Tao Mei, Y. Liu, Dacheng Tao and He-Qin Zhou, “Visual Search Reranking via Adaptive Particle Swarm Optimization,” Pattern Recognition (Elsevier), 44(8): 1811-1820, 2011 [ARC Ranking A*, JCI: 2.554]

[20] Peng Zhang, Xingquan Zhu, Yong Shi, Li Guo, and Xindong Wu, Robust Ensemble Learning for Mining Noisy Data Streams, Decision Support Systems, 50(2):469-479, 2011 [ARC Ranking A*, JCI: 2.622]

 

Conference Articles

[1] Ling Chen, Chengqi Zhang, “Semi-supervised Variable Weighting for Clustering”, in Proc. of 2011 SIAM International Conference on Data Mining, Mesa, Arizona USA, Apr. 28-30, 2011. [ARC Ranking A]

[2]Wei Bian and Dacheng Tao, “Learning a Distance Metric by Empirical Loss Minimization,” in Proc. of International Joint Conferences on Artificial Intelligence (IJCAI), Barcelona, Spain, July 16-22, 2011 [ARC Ranking A]

[3] Bin Li, Xingquan Zhu, Ruijiang Li, Chengqi Zhang, Xiangyang Xue, and Xindong Wu, Cross-Domain Collaborative Filtering over Time, Proc. of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, July 16-22, 2011. [ARC Ranking A]

[4] Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue, and Xingquan Zhu, Tracking User Preference Varying Rate in Collaborative Filtering, Proc. of the 25th Annual American Association for the Advancement of Artificial Intelligence Conference (AAAI), August 7-11, San Francisco, USA, 2011 [ARC Ranking A]

[5] Guohua Liang, Xingquan Zhu, and Chengqi Zhang, An Empirical Study of Bagging Predictors for Different Learning Algorithms, [Student Poster], Proc. of the 25th Annual American Association for the Advancement of Artificial Intelligence Conference (AAAI), August 7-11, San Francisco, USA, 2011 [ARC Ranking A].

[6] Yifan Fu and Xingquan Zhu, Optimal Subset Selection for Active Learning [Student Poster], Proc. of the 25th Annual American Association for the Advancement of Artificial Intelligence Conference (AAAI), August 7-11, San Francisco, USA, 2011 [ARC Ranking A].

[7] Ting Guo, Zhanshan Li, Ruizhi Guo, and Xingquan Zhu, Large Scale Diagnosis using Associations between System Outputs and Components [Student Poster], Proc. of the 25th Annual American Association for the Advancement of Artificial Intelligence Conference (AAAI), August 7-11, San Francisco, USA, 2011 [ARC Ranking A].

[8] Yang Mu, Wei Ding, Dacheng Tao and Tom Stepinski, “Biologically Inspired Model for Crater Detection,” IEEE International Joint Conference on Neural Networks (IJCNN), San Jose, California, USA, July 31-August 5, 2011 [ARC Ranking A]

[9] Hui Wu, Guangzhi Qu, and Xingquan Zhu, Self-Adjust Local Connectivity Analysis for Spectral Clustering, Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Shenzhen, China, May 24-27, 2011 [ARC Ranking A]

 

2010

Monographs

Bo Liu, Longbing Cao, Yanshan Xiao. (2010), Multi-Class Classification SVM-Based Approaches, World Scientific press.

Journal Articles

[1] Xingquan Zhu, Peng Zhang, Xiaodong Lin, and Yong Shi, Active Learning from Stream Data Using Classifier Ensemble, IEEE Trans. on Systems Man and Cybernetics, Part B, 40(6):1607-1621, December 2010 [ARC Ranking A, JCI: 3.007]

[2] Mingli Song, Dacheng Tao, Chun Chen, Xuelong Li and Chang Wen Chen, “Color to Gray: Visual Cue Preservation,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 32(9): 1537-1552, 2010 [ARC Ranking A*, JCI: 4.378]

[3] Si Si, Dacheng Tao and Kwok-Ping Chan, “Evolutionary Cross-domain Discriminative Hessian Eigenmaps,” IEEE Transactions on Image Processing (T-IP), 19(4): 1075-1086, 2010 [ARC Ranking A*, JCI: 2.848]

[4] Xinbo Gao, Ying Wang, Xuelong Li and Dacheng Tao, “On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection,” IEEE Transactions on Information Technology in Biomedicine (T-ITB), 14(2): 266-273, 2010 [ARC Ranking A*, JCI: 1.694]

[5] X. Tian, Dacheng Tao, Xian-Sheng Hua and Xiuqing Wu, “Active Reranking for Web Image Search,” IEEE Transactions on Image Processing (T-IP), 19(3): 805-820, 2010 [ARC Ranking A*, JCI: 2.848]

[6] Wei Bian and Dacheng Tao, “Biased Discriminant Euclidean Embedding for Content based Image Retrieval,” IEEE Transactions on Image Processing (T-IP), 19(2): 545-554, 2010 [ARC Ranking A*, JCI: 2.848]

[7] Dongjin Song and Dacheng Tao, “Biologically Inspired Feature Manifold for Scene Classification,” IEEE Transactions on Image Processing (T-IP), 19(1): 174-184, 2010 [ARC Ranking A*, JCI: 2.848]

[8] Si Si, Dacheng Tao and Bo Geng, “Bregman Divergence based Regularization for Transfer Subspace Learning,” IEEE Transactions on Knowledge and Data Engineering (T-KDE), 22(7): 929-942, 2010 [ARC Ranking A, JCI: 2.285]

[9] Mingli Song, Dacheng Tao, Zicheng Liu, Xuelong Li and Meng Zhou, “Image Ratio Features for Facial Expression Recognition,” IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMCB), 40(3): 779-788, 2010 [ARC Ranking A, JCI: 3.007]

[10] Bin Wang, Xinbo Gao, Dacheng Tao and Xuelong Li, “A Unified Tensor Level Set for Image Segmentation,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMCB), 40(3): 857-867, 2010 [ARC Ranking A, JCI: 3.007]

[11] Xinbo Gao, Cheng Deng, Xuelong Li and Dacheng Tao, “Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions,” IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMCB), 40(3): 278-286, 2010 [ARC Ranking A, JCI: 3.007]

[12] Tian Xia, Dacheng Tao, Tao Mei and Y. Zhang, “MultiView Spectral Embedding,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMCB), 40(6): 1438-1446, 2010 [ARC Ranking A, JCI: 3.007]

[13] Mingli Song, Dacheng Tao, Z. Sun and Xuelong Li, “Visual Context Boosting for Eye Detection,” IEEE Transactions on Systems, Man and Cybernetics, Part B (T-SMCB), 40(6): 1460-1467, 2010 [ARC Ranking A, JCI: 3.007]

[14] Tianhao Zhang, Kaiqi Huang, Xuelong Li, Jie Yang and Dacheng Tao, “Discriminative Orthogonal Neighborhood Preserving Projections for Classification,” IEEE Transactions on Systems, Man and Cybernetics, Part: B. (T-SMCB), 40(1): 253-263, 2010 [ARC Ranking A, JCI: 3.007]

[15] Lefei Zhang, Liangpei Zhang, Dacheng Tao and Xing Huang, “A Multi-feature Tensor for Remote Sensing Target Recognition,” IEEE Geoscience and Remote Sensing Letters (GRSL), 8(2): 374-378, 2011 [ARC Ranking A, JCI: 1.379]

[15] Xuelong Li, Yanting Hu, Xinbo Gao, Dacheng Tao and Beijia Ning, “A Multi-frame Image Super-Resolution Method,” Signal Processing (Elsevier), 90(2): 405-414, 2010 [ARC Ranking A, JCI: 1.135]

[16] Cheng Deng, Xinbo Gao, Xuelong Li and Dacheng Tao, “Local Histogram based Geometric Invariant Image Watermarking,” Signal Processing (Elsevier), 90(12): 3256-3264, 2010 [ARC Ranking A, JCI: 1.135]

[17] Xinchao Wang, Dacheng Tao and Zhu Li, “Entropy Controlled Laplacian Regularization for Least Square Regression,” Signal Processing (Elsevier), 90(6): 2043-2049, 2010 [ARC Ranking A, JCI: 1.135]

[18] Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao, Feiqi Deng, Zhifeng Hao (2010), Multi-agent system for customer relationship management with SVMs tool, International Journal of Intelligent Information and Database Systems (IJIIDS), 4(2): 121-136 (2010).

 

Conference Articles

[1] Wei Liu, Shiqian Ma, Dacheng Tao and Jianzhuang Liu, “Semi-supervised Sparse Metric Learning using Alternating Linearization Pptimization,” Sixteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 1139-1148, Washington DC, USA, July 25-28, 2010 [ARC Ranking A]

[2] Wei Liu, Xinmei Tian, Dacheng Tao and Jianzhuang Liu, “Constrained Metric Learning via Distance Gap Maximization,” Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp. 518-524, Atlanta, Georgia, USA, July 11-15, 2010 [ARC Ranking A]

[3] Tianyi Zhou, Dacheng Tao and Xindong Wu, “NESVM: a Fast Gradient Method for Support Vector Machines,” IEEE International Conference on Data Mining (ICDM), Sydney, Australia, Dec. 14-17, 2010 [ARC Ranking A]

[4] Bo Xie, Yang Mu and Dacheng Tao, “m-SNE: Multiview Stochastic Neighbor Embedding,” International Conference on Neural Information Processing (ICONIP), vol. 1, pp. 338-346, Sydney, Australia, Nov. 22-25, 2010 [ARC Ranking A]

[5] Bo Xie, Mingli Song, Yang Mu and Dacheng Tao, “Random Projection Tree and Multiview Embedding for Large-scale Image Retrieval,” International Conference on Neural Information Processing (ICONIP), vol. 2, pp. 641-649, Sydney, Australia, Nov. 22-25, 2010 [ARC Ranking A]

[6] Jun Li and Dacheng Tao, “An Exponential Family Extension to Principal Component Analysis,” International Conference on Neural Information Processing (ICONIP), Sydney, Australia, Nov. 22-25, 2010 [ARC Ranking A]

[7] Zhao Chao and Dacheng Tao, “Error Bounds for Real Function Classes Based on Discretized Vapnik-Chervonenkis Dimensions,” International Conference on Neural Information Processing (ICONIP), Sydney, Australia, Nov. 22-25, 2010 [ARC Ranking A]

[8] Tianyi Zhou and Dacheng Tao, “Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization,” International Conference on Neural Information Processing (ICONIP), vol. 1, pp. 388-396, Sydney, Australia, Nov. 22-25, 2010 [ARC Ranking A]

[9] Peng Zhang, Xingquan Zhu, Jianlong Tan, and Li Guo, Classifier and Cluster Ensembling for Mining Concept Drifting Data Streams, Proceedings of the 10th IEEE International Conference on Data Mining, Sydney, Australia, Dec. 14-17, 2010. [ARC Ranking A]

[10] Peng Zhang, Xingquan Zhu, Jianlong Tan, and Li Guo, SKIF: A Data Imputation Framework for Concept Drifting Data Streams, Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM-2010), Toronto, Canada, Oct. 26-30, 2010.[ARC Ranking A]

[11] Zhenfeng Zhu, Xingquan Zhu, Yi-Fei Guo, and Xiangyang Xue, Transfer Incremental Learning for Pattern Classification, Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM-2010), Toronto, Canada, Oct. 26-30, 2010. [ARC Ranking A]

[12] Zhengyu Lu, Xindong Wu, Xingquan Zhu, and Josh Bongard, Ensemble Pruning via Individual Contribution Ordering, Proceedings of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2010), Washington, DC, USA, July 25-28, 2010. [ARC Ranking A]

[13] Dan He, Xindong Wu, and Xingquan Zhu, Rule Synthesizing from Multiple Related Databases, Proc. the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-10), Hyderabad, India, June 2010. [ARC Ranking A]

[14] Yanshan Xiao, Bo Liu, Longbing Cao (2010), K-Farthest-Neighbors-Based Concept Boundary Determination for Support Vector Data Description, International Conference on Information and Knowledge Management (CIKM 2010).

[15] Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu (2010), Orientation Distance-based Discriminative Feature Extraction for Multi-Class Classification, International Conference on Information and Knowledge Management (CIKM 2010).

 

2009

Monographs

Longbing Cao, Chengqi Zhang, Zili Zhang (2009), Agents and Data Mining: Interaction and Integration, Taylor & Francis.

Longbing Cao, Philip Yu, Chengqi Zhang, Yanchang Zhao (2009), Domain Driven Data Mining, Springer.

 

Edited books

Longbing Cao (2009), Data Mining and Multiagent Integration, Springer.

Longbing Cao, Vladimir Gorodetsky, Jiming Liu, Gerhard Weiss, Philip S. Yu (2009), Agents and Data Mining Interaction, ADMI 2009, Springer.

Yanchang Zhao, Chengqi Zhang and Longbing Cao (Eds.) (2009), Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, Information Science Reference, 372 pages.

 

Book Chapters

Xingquan Zhu (2009), Quantitative Association Rules, Encyclopedia of Database Systems, Springer US, 2240-2244.

Longbing Cao (2009), Data Mining in Financial Markets, Advanced Data Mining and Applications, Springer, 4.

Longbing Cao; Dan Luo; Chengqi Zhang (2009), Ubiquitous Intelligence in Agent Mining, Agents and Data Mining Interaction, Springer, 23-35.

Yanchang Zhao; Huaifeng Zhang ;Shanshan Wu ; Jian Pei ; Longbing Cao;Chengqi Zhang ; Hans Bohlscheid (2009), Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patter, Machine Learning and Knowledge Discovery in Databases, Springer, 648-663.

Shanshan Wu ; Yanchang Zhao ;Huaifeng Zhang;Chengqi Zhang; Longbing Cao; Hans Bohlscheid (2009), Debt Detection in Social Security by Adaptive Sequence Classification, Knowledge Science, Engineering and Management, Springer, 192-203.

Yanchang Zhao ; Huaifeng Zhang; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (2009),Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data, Advances in Knowledge Discovery and Data Mining, Springer, 656-663.

Paul D. McNicholas, Yanchang Zhao (2009), Association Rules: An Overview, Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, ISBN 978-1-60566-404-0, Information Science Reference, 1-10.

Yanchang Zhao, Longbing Cao, Huaifeng Zhang, Chengqi Zhang (2009), Data Clustering, Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends, ISBN: 978-1-60566-242-8, Information Science Reference, 562-572.

 

Special IssuesChengqi Zhang, Philip Yu, David Bell (2009), Special Issue on Domain-Driven Data Mining, IEEE Trans. Knowledge and Data Engineering.

Longbing Cao, Vladimir I. Gorodetski, Pericles A. Mitkas (2009), Special Issue on Agents and Data Mining, IEEE Intelligent Systems.

 

Journal Articles

[1] Ling Chen ; Lingjun Zou ; Li Tu (2009), Stream Data Classification Using Improved Fisher Discriminate Analysis, Journal of Computers, 4(3)/208-214.

[2] {Ling Chen ; Hai-Ying Sun ; Su Wang (2009), First Order Deceptive Problem of ACO and Its Performance Analysis, Journal of Networks, IEEE, 4(10)/ 993-1000.

[3] Xindong Wu ; Xingquan Zhu; Qijun Chen ; Fei-Yue Wang (2009), Ubiquitous Mining with Interactive Data Mining Agents, J. Comput. Sci. Technol., Springer, 24(6)/1018-1027.

[4] Xuxian Jiang ;Xingquan Zhu (2009), vEye: behavioral footprinting for self-propagating worm detection and profiling, Knowl. Inf. Syst., Springer, 18(2)/231-262.

[5] Shichao Zhang ;Rifeng Wang ; Zhi Jin (2009), Strategies for complex data cube queries, Appl. Intell., Springer, 31(3)/ 332-346.

[6] Xiaowei Yan ; Chengqi Zhang ; Shichao Zhang (2009), Confidence Metrics for Association Rule Mining, Applied Artificial Intelligence, Taylor & Francis, 23(8): 713-737.

[7] {Yongsong Qin ;Shichao Zhang ; Xiaofeng Zhu ;Jilian Zhang ; Chengqi Zhang (2009), POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from database, Expert Syst. Appl., 36(2)/2794-2804.

[8] Xiaowei Yan ; Chengqi Zhang; Shichao Zhang (2009), Genetic algorithm-based strategy for identifying association rules without specifying actual minimum, Expert Syst. Appl., 36(2)/3066-3076.

[9] Yongsong Qin; Shichao Zhang; Xiaofeng Zhu;Jilian Zhang ; Chengqi Zhang (2009),Estimating confidence intervals for structural differences between contrast groups with missing data, Expert Syst. Appl., 36(3)/ 6431-6438.

[10] Shichao Zhang ;Feng Chen ; Zhi Jin;Ruili Wang (2009), Mining class-bridge rules based on rough sets, Expert Syst. Appl., 36(3)/6453-6460.

[11] Shichao Zhang; ; Xiaofang You ; Zhi Jin ; Xindong Wu (2009), Mining globally interesting patterns from multiple databases using kernel estimation, Expert Syst. Appl., 36(8)/ 10863-10869.

[12] Shichao Zhang ;;Jilian Zhang; ; Zhi Jin (2009), A decremental algorithm of frequent itemset maintenance for mining updated databases, Expert Syst. Appl., 36(8)/10890-10895.

[13] Shichao Zhang; Zhi Jin; Xiaofeng Zhu;Jilian Zhang (2009), Missing Data Analysis: A Kernel-Based Multi-Imputation Approach, Transactions on Computational Science, Springer, 3/122-142.

[14] Xiaowei Yan; ;Chengqi Zhang; ; Shichao Zhang (2009), Confidence Metrics for Association Rule Mining, Applied Artificial Intelligence, Taylor & Francis, 23(8)/713-737.

[15] Yongsong Qin; Shichao Zhang; Xiaofeng Zhu; Jilian Zhang; Chengqi Zhang (2009), POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from database, Expert Systems with Applications, ScienceDirect, 36(2)/2794-2804.

[16] Xiaowei Yan; Chengqi Zhang; Shichao Zhang (2009), Genetic algorithm-based strategy for identifying association rules without specifying actual minimu, Expert Systems with Applications, ScienceDirect, 36(2)/3066-3076.

[17] Yongsong Qin; Shichao Zhang; Xiaofeng Zhu; Jilian Zhang; Chengqi Zhang (2009),Estimating confidence intervals for structural differences between contrast groups with missing data, Expert Systems with Applications, ScienceDirect, 36(3)/6431-6438.

[18] Zili Zhang; Pengyi Yang ; Xindong Wu ; Chengqi Zhang (2009), An Agent-Based Hybrid System for Microarray Data Analysis, IEEE Intelligent Systems, IEEE, 24(5)/53-63.

[19] Tich Phuoc Tran; Longbing Cao; Dat Tran ; Cuong Duc Nguyen (2009), Novel Intrusion Detection using Probabilistic Neural Network and Adaptive Boosting, The Computing Research Repository, IJCSIS, 6(1)/ 083-091.

[20] Longbing Cao ; Vladimir Gorodetsky; Pericles A. Mitkas (2009), Guest Editors' Introduction: Agents and Data Mining, IEEE Intelligent Systems, IEEE, 24(3)/ 14-15.

[21] Longbing Cao ; Vladimir Gorodetsky; Pericles A. Mitkas (2009), Agent Mining: The Synergy of Agents and Data Mining, IEEE Intelligent Systems, IEEE, 24(3)/ 64-72.

[22] Huaifeng Zhang; Yanchang Zhao; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (2009),Customer Activity Sequence Classification for Debt Prevention in Social Security, Journal of Computer Science and Technology, Springer, 24(6)/ 1000-1009.

[23] Longbing Cao; Tony He (2009), Developing actionable trading agents, Knowledge and Information Systems, Springer, 18(2)/ 183-198.

[24] Pohsiang Tsai; Longbing Cao; Tom Hintz; Tony Jan (2009), A bi-modal face recognition framework integrating facial expression with facial appearance, Pattern Recognition Letters, ScienceDirect, 30(12)/ 1096-1109.

[25] Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang (2009), POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases, Expert Systems with Applications, Expert Systems with Applications, 36(2), 2794-2804.

[26] Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang (2009),Estimating confidence intervals for structural differences between contrast groups with missing data, Expert Systems with Applications, Expert Systems with Applications, 36(2), 6431-6438.

[27] Xiaowei Yan, Chengqi Zhang, Shichao Zhang (2009), Genetic algorithm-based strategy for identifying association rules without specifying actual minimum, Expert Systems with Applications, Expert Systems with Applications, 36(2), 3066-3076.

Conference Articles

[1] Abu H. M. Kamal ; Xingquan Zhu ; Abhijit S. Pandya ;Sam Hsu ; Muhammad Shoaib (2009),The Impact of Gene Selection on Imbalanced Microarray Expression Data, Bioinformatics and Computational Biology, First International Conference, BICoB 2009, New Orleans, LA, USA, April 8-10, 2009. Proceedings, Springer, 259-269.

[2] Michael Slavik ; Xingquan Zhu ; Imad Mahgoub ; Muhammad Shoaib (2009), Parallel Selection of Informative Genes for Classification, Bioinformatics and Computational Biology, First International Conference, BICoB 2009, New Orleans, LA, USA, April 8-10, 2009. Proceedings, Springer, 388-399.

[3] Peng Zhang ; Xingquan Zhu ;Yong Shi (2009), Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models, Computational Science - ICCS 2009, 9th International Conference, Baton Rouge, LA, USA, May 25-27, 2009, Proceedings, Part II, Springer, 524-533.

[4] Peng Zhang ; Xingquan Zhu;Li Guo (2009), Mining Data Streams with Labeled and Unlabeled Training Examples, ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009, IEEE Computer Society, 627-636.

[5] Xingquan Zhu ; Xindong Wu; Chengqi Zhang (2009), Vague One-Class Learning for Data Streams, ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009, IEEE Computer Society, 657-666.

[6] Dan He ; Xingquan Zhu ; Xindong Wu (2009), Approximate Repeating Pattern Mining with Gap Requirements, ICTAI 2009, 21st IEEE International Conference on Tools with Artificial Intelligence, Newark, New Jersey, USA, 2-4 November 2009, IEEE Computer Society, 17-24.

[7] Dan He ; Xingquan Zhu ; Xindong Wu (2009), Error Detection and Uncertainty Modeling for Imprecise Data, ICTAI 2009, 21st IEEE International Conference on Tools with Artificial Intelligence, Newark, New Jersey, USA, 2-4 November 2009, IEEE Computer Society, 792-795.

[8] Xingquan Zhu ; Ruoming Jin (2009), Multiple Information Sources Cooperative Learning, IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence, Pasadena, California, USA, July 11-17, 2009, 1369-1376.

[9] Abu H. M. Kamal ;Xingquan Zhu ; Abhijit S. Pandya ;Sam Hsu (2009), Feature Selection with biased Sample Distributions, Proceedings of the IEEE International Conference on Information Reuse and Integration, IRI 2009, 10-12 August 2009, Las Vegas, Nevada, USA, IEEE Systems, Man, and Cybernetics Society, 23-28.

[10] Peng Zhang ; Xingquan Zhu; Yong Shi ; Xindong Wu (2009), An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise, Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings, Springer, 1021-1029.

[11] Longbing Cao (2009), Data Mining in Financial Markets, Advanced Data Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009, Springer, 4.

[12] Longbing Cao ; Dan Luo ;Chengqi Zhang (2009), Ubiquitous Intelligence in Agent Mining, Agents and Data Mining Interaction, 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15, 2009, Revised Selected Papers, Springer, 23-35.

[13] Yanchang Zhao ; Huaifeng Zhang; Shanshan Wu;Jian Pei ; Longbing Cao; Chengqi Zhang; Hans Bohlscheid (2009), Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patter, Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Springer, 648-663.

[14] Xingquan Zhu Xindong Wu ; Chengqi Zhang (2009), Vague One-Class Learning for Data Streams, ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009, IEEE Computer Society, 657-666.

[15] Shanshan Wu; Yanchang Zhao; Huaifeng Zhang; Chengqi Zhang; Longbing Cao; Hans Bohlscheid (2009), Debt Detection in Social Security by Adaptive Sequence Classification, Knowledge Science, Engineering and Management, Third International Conference, KSEM 2009, Vienna, Austria, November 25-27, 2009., Springer, 192-203.

[16] Yanchang Zhao; Huaifeng Zhang ; Longbing Cao ; Chengqi Zhang ; Hans Bohlscheid (2009), Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data, Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009,, Springer, 656-663.

[17] Wei Wang; Chuan Xiao ; Xuemin Lin ; Chengqi Zhang (2009), Efficient approximate entity extraction with edit distance constraints, the 35th SIGMOD international conference on Management of data, ACM, 759-770.

[18] Chengqi Zhang (2009), Developing Actionable Trading Strategies for Trading Agents, 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009, Milan, Italy, 15-18 September 2009, Main Conference Proceedings, IEEE, 9.

[19] Gang Zhao; Yun Xiong; Longbing Cao; Dan Luo; Xuchun Su; Yangyong Zhu (2009), A Cost-Effective LSH Filter for Fast Pairwise Mining, 2009 Ninth IEEE International Conference on Data Mining, IEEE, 1088-1093.

[20] Yanshan Xiao; Bo Liu; Longbing Cao; Xindong Wu; Chengqi Zhang; Zhifeng Hao; Fengzhao Yang; Ji (2009), Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data, IEEE International Conference on Data Mining Workshops, IEEE, 82-87.

[21] Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang and Hans Bohlschei (2009), Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patter, the 2009 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 09), Bled, Slovenia, September 7-11, 2009, 648-663.

[22] Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid (2009),Mining Both Positive and Negative Impact-Oriented Sequential Rules From Transactional Data, the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 09), Bangkok, Thailand, April 27-30, 2009, Springer, 656-663.

 

2008

Monographs

Qingfeng Chen, Chengqi Zhang, Shichao Zhang (2008), Secure Transaction Protocol Analysis, Springer, LNCS 5111, 234p.

Longbing Cao, Ruwei Dai (2008), Open Complex Intelligent Systems, Peoples’ Telecommunication Press , selected by China Government 11th Five-Year Publication Plan, 326p.

Edited books

Lakhmi Jain, Pawan Lingras, Matthias Klusch, Jie Lu, Chengqi Zhang, Nick Cercone, Longbing Cao (2008), 2008 IEEE/WIC/ACM International Conference on Web Intelligence, IEEE Computer Society.

Yuefeng Li, Gabriella Pasi , Chengqi Zhang, Nick Cercone, Longbing Cao (2008), 2008 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Wor, IEEE Computer Society.

Lakhmi Jain, Maria Gini, Boi B. Faltings, Takao Terano, Chengqi Zhang, Nick Cercone, Longbing Cao (2008), 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2008 IEEE/WIC/ACM International Conference, IEEE Computer Society.

 Longbing Cao, Philip Yu, Chengqi Zhang, Huaifeng Zhang (2008), Data Mining for Business Applications, Springer.

 

Book Chapters

Longbing Cao (2008), Introduction to Domain Driven Data Mining, Data Mining for Business Applications (Edited Book), Springer.

Longbing Cao (2008), Actionable Knowledge Discovery, Encyclopedia of Information Science and Technology, Second Ed., IGI Global publications.

 Longbing Cao (2008), Developing Actionable Trading Strategies, Intelligent Agents in the Evolution of WEB and Application, Springer.

Qingfeng Chen, Chengqi Zhang, Shichao Zhang (2008), Secure Transaction Protocol Analysis, Models and Applications Springer 2008, Springer, 175-192.

Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang (2008), Missing Value Imputation Based on Data Clustering, Transactions on Computational Science, pp.128-138.

Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Hans Bohlscheid, Yuming Ou, Chengqi Zhang (2008), Data Mining Applications in Social Security, Data Mining for Business Applications, Springer, pp. 81-96.

 

Special Issues

Longbing Cao, Zili Zhang, Vladimir I. Gorodetski, Chengqi Zhang (2008), Editorial: Interaction between Agents and Data Mining, International Journal of Intelligent Information and Database Systems, Vol 2, Issue 1.

 

Journal Articles

[1] Yanshan Xiao, Bo Liu and Longbing Cao (2008), A Chinese question classification using One-vs-One method as a learning tool, International Journal of Intelligent Information and Database Systems (IJIIDS), Inderscience, Accepted.

[2] Bo Liu, Zhifeng Hao, Eric C.C. Tsang (2008), Nesting One-against-One algorithm based on SVMs for pattern classification, IEEE Transactions on Neural Networks, IEEE Computer Society, scheduled December, 2008. (Regular Paper).

[3] Yuming Ou, Longbing Cao, Chao Luo, Chengqi Zhang (2008), Detecting Turning Points of Trading Price and Return Volatility for Market.

[4] Shichao Zhang, Zifang Huang, Jilian Zhang, Xiaofeng Zhu (2008), Mining follow-up correlation patterns from time-related databases, Knowl. Inf. Syst, Springer, 14(1): 81-100.

[5] Shichao Zhang, Xindong Wu, Chengqi Zhang, Jingli Lu (2008), Computing the minimum-support for mining frequent patterns, Knowl. Inf. Syst, Springer, 15(2): 233-257.

[6] Yongsong Qin, Shichao Zhang (2008), Empirical likelihood confidence intervals for differences between two datasets with missing data, Pattern Recognition Letters, ScienceDirec, 29(6): 803-812.

[7] Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang (2008), Missing Value Imputation Based on Data Clustering, Transactions on Computational Science, Springer, 1: 128-138.

[8] Longbing Cao, Yanchang Zhao, Chengqi Zhang (2008), Mining Impact-Targeted Activity Patterns in Imbalanced Data, IEEE Transactions on Knowledge and Data Engineering, IEEE, 20(8): 1053-1066.

[9] Longbing Cao, Chengqi Zhang, MengChu Zhou (2008), Engineering Open Complex Agent Systems: A Case Study, IEEE Transactions on Systems, Man, and Cybernetics, Part C, IEEE, 38(4): 483-496.

[10] Yanshan Xiao, Bo Liu, Longbing Cao (2008), A Chinese question classification using one-vs-one method as a learning tool., International Journal of Intelligent Information and Database Systems (IJIIDS), Inderscience Publishers, 2(4): 446-459.

[11] Li Lin, Longbing Cao (2008), Mining in-depth patterns in stock market, International Journal of Intelligent Systems Technologies and Applications (IJISTA), Inderscience Publishers, 4(3/4): 225-238.

[12] Wanli Chen, Longbing Cao, Zhe Qin (2008), An integrated investment decision-support framework analysing and synthesising multidimensional mark, International Journal of Intelligent Systems Technologies and Applications (IJISTA), Inderscience Publishers, 4(3/4): 239-253.

[13] Longbing Cao, Yanchang Zhao, Chengqi Zhang, Huaifeng Zhang (2008), Activity Mining: from Activities to Actions, International Journal of Information Technology and Decision Making, World Scientific Publishing Company, 7(2): 259-273.

[14] Longbing Cao (2008), Integrating Agent, Service and Organizational Computing, International Journal of Software Engineering and Knowledge Engineering, World Scientific Publishing Company, 18(5)573-596.

[15] Longbing Cao, Ngoc Thangh Nguyen (2008), Knowledge Processing in Intelligent Systems., The Journal of Universal Computer Science(J. UCS), Graz University of Technology, 14(14): 2255.

[16] Longbing Cao, Ngoc Thangh Nguyen (2008), Intelligence Metasynthesis and Knowledge Processing in Intelligent Systems, The Journal of Universal Computer Science(J. UCS), Graz University of Technology, 14(14): 2256-2262.

[17] Longbing Cao, Yuming Ou (2008), Market Microstructure Patterns Powering Trading and Surveillance Agents, The Journal of Universal Computer Science(J. UCS), Graz University of Technology, 14(14): 2288-2308.

[18] Cao, L., Zhao, Y., Zhang, C. (2008), Mining Impact-Targeted Activity Patterns in Imbalanced Data, IEEE Trans. Knowledge and Data Engineering, IEEE, Vol. 20, No. 8, pp. 1053-1066, 2008..

[19] Cao L., Zhang C., Zhou M. (2008), Engineering open complex agent systems: a case study, IEEE Trans. On Systems, Man, and Cybernetics--Part C: Applications and Reviews, IEEE Computer Society, 38(4): 483-496.

[20] Xiaowei Yan, Chengqi Zhang, Shichao Zhang (2008), Genetic-algorithm-based Strategy for Identifying Association Rules without Specifying Actual Minimum, Expert Systems With Applications, Elsevier, 40(4).

[21] Shichao Zhang, Rifeng Wang, Zhi Jin (2008), Strategies for complex data cube queries, Applied Intelligence, Springer.

[22] Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang (2008),Estimating Confidence Intervals for Structural Differences between Contrast Groups with Missing Data, Expert Systems With Applications, Elsevier, 43(4).

[23] Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang (2008), POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases, Expert Systems With Applications, Elsevier, 40(4):.

[24] Jiarui Ni, Dan Luo, Yuming Ou, Chao Luo (2008), Agent-based evolutionary optimisation of trading strategies, International Journal of Intelligent Information and Database Systems (IJIIDS), Inderscience, 2(1): 25-48.

[25] Li Lin, Longbing Cao (2008), Mining In-Depth Patterns in Stock Market, International Journal of Intelligent Systems Technologies and Applications (IJISTA), Inderscience, Vol.4, Nos.3/4, pp225-238.

[26] Longbing Cao, Yanchang Zhao, Chengqi Zhang, Huaifeng Zhang (2008), Activity Mining: from Activities to Actions, International Journal of Information Technology & Decision Making (IJITDM), World Scientific, 7(2): 259-273.

 

Conference Articles

[1] Bo Liu, Longbing Cao, Philip S. Yu, and Chengqi Zhang (2008), Multi-Space-Mapped SVMs for Multi-Class Classification, IEEE International Conference on Data Mining (ICDM 2008), (appear in December/2008).

[2] Yanshan Xiao, Feiqi Deng, Bo Liu, Shouqiang Liu, Dan Luo, Guohua Liang (2008), A Learning Process Using SVMs for Multi-agents Decision Classification, Web Intelligence/IAT Workshops 2008, IEEE, 583-586.

[3] Xingquan Zhu, Peng Zhang, Xindong Wu, Dan He, Chengqi Zhang, Yong Shi (2008),Cleansing Noisy Data Streams, ICDM 2008, IEEE, 1139-1144.

[4] Shichao Zhang, Zhi Jin, Xiaofeng Zhu: NIIA (2008), Nonparametric Iterative Imputation Algorithm, PRICAI 2008, Springer, 544-555.

[5] Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid (2008),Combined Pattern Mining: From Learned Rules to Actionable Knowledge, Australasian Conference on Artificial Intelligence 2008, Springer, 393-403.

[6] Longbing Cao, Ruwei Dai, Vladimir I. Gorodetski (2008), Message from the EOCS-MCP 2008 Workshop Organizers, COMPSAC 2008, IEEE, 859.

[7] Longbing Cao, Ruwei Dai, Vladimir I. Gorodetski (2008), EOCS-MCP 2008 Workshop Organization, COMPSAC 2008, IEEE, 860-861.

[8] Longbing Cao (2008), Metasynthetic Computing for Solving Open Complex Problems, COMPSAC 2008, IEEE, 896-901.

[9] Bo Liu, Longbing Cao, Philip S. Yu, Chengqi Zhang (2008), Multi-Space-Mapped SVMs for Multi-class Classification, ICDM 2008, IEEE, 911-916.

[10] Longbing Cao (2008), Domain Driven Data Mining (D3M), ICDM Workshops 2008, IEEE, 74-76.

[11] Longbing Cao (2008), Behavior Informatics and Analytics: Let Behavior Talk, ICDM Workshops 2008, IEEE, 87-96.

[12] Xuekan Qiu, Shuqiang Jiang, Huiying Liu, Qingming Huang, Longbing Cao (2008), Spatial-temporal attention analysis for home video, ICME 2008, IEEE, 1517-1520.

[13] Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao (2008), Multi-agent System for Custom Relationship Management with SVMs Tool, KES-AMSTA 2008, Springer, 333-340.

[14] Longbing Cao, Dan Luo, Yanshan Xiao, Zhigang Zheng (2008), Agent Collaboration for Multiple Trading Strategy Integration, KES-AMSTA 2008, Springer, 361-370.

[15] Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang (2008), Combined Association Rule Mining, PAKDD 2008, Springer, 1069-1074.

[16] Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Li Liu (2008), Outlier Mining on Multiple Time Series Data in Stock Market, PRICAI 2008, Springer, 1010-1015.

[17] Yuming Ou, Longbing Cao, Chao Luo, Chengqi Zhang (2008), Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation, PRICAI 2008, Springer, 849-858.

[18] Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid (2008),Efficient Mining of Event-Oriented Negative Sequential Rules, Web Intelligence 2008, IEEE, 336-342.

[19] Yuming Ou, Longbing Cao, Chao Luo, Li Liu (2008), Mining Exceptional Activity Patterns in Microstructure Data, Web Intelligence 2008, IEEE, 884-887.

[20] Peerapol Moemeng, Longbing Cao, Chengqi Zhang (2008), F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments, Web Intelligence/IAT Workshops 2008, IEEE, 612-615.

[21] Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Chengqi Zhang (2008), Exception Mining on Multiple Time Series in Stock Market, Web Intelligence/IAT Workshops 2008, IEEE, 690-693.

[22] Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid (2008),Combined Pattern Mining: from Learned Rules to Actionable Knowledge, the 21st Australasian Joint Conference on Artificial Intelligence (AI 08), Springer, pp. 393-403.

[23] Yanshan Xiao, Bo Liu, Dan Luo, Longbing Cao (2008), Multi-agent System for Custom Relationship Management with SVMs Tool, KES-AMSTA 2008, Springer, 333-340.

[24] Zhenxing Qin, Shichao Zhang, Li Liu, Tao Wang (2008), Cost-sensitive Semi-supervised Classification using CS-EM, CIT 2008, IEEE Computer Society, 131-136.

[25] Shichao Zhang, Li Liu, Xiaofeng Zhu, Chen Zhang (2008), A Strategy for Attributes Selection in Cost-Sensitive, CIT 2008, IEEE Computer Society, 8-13.

[26] Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang (2008), Combined Association Rule Mining, PAKDD 2008, Springer, 1069-1074.

[27] Longbing Cao, Dan Luo, Yanshan Xiao, Zhigang Zheng (2008), Agent Collaboration for Multiple Trading Strategy Integration, KES-AMSTA 2008, Springer, 361-370.

 

2007

Monographs

 

Edited books

Tsau Yong(T.Y) Lin, Jeffrey M. Bradshaw, Matthias Klusch, Chengqi Zhang, Andrei Broder, Howard Ho (2007), Intelligent Agent Technology, IEEE Computer Soc.

Philip Yu, Chengqi Zhang, Graham William, Longbing Cao (2007), Proc. Of ACM SIGKDD Workshop on Domain Driven Data Mining, ACM Press.

Vladimir Gorodetsky, Chengqi Zhang, Victor Skormin, Longbing Cao (2007), Autonomous Intelligent Systems: Multi-Agents and Data Mining, Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 323p.

 

Book Chapters

Longbing Cao, Chengqi Zhang (2007), Domain-Driven Data Mining, Advances in Data Warehousing and Mining, IGI Publisher, pp, 196-223.

 

Special Issues

Longbing Cao (2007), Domain-Driven, Actionable Knowledge Discovery, IEEE Intelligent Systems, IEEE, 22 (4): 78-88.

Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang (Eds) (2007),Editorial: Special issue on mining low-quality data, Knowledge and Information Systems, 11(2): 131-136.

 

Journal Articles

[1] Xingquan Zhu, Taghi M. Khoshgoftaar, Ian Davidson, Shichao Zhang (2007), Editorial: Special issue on mining low-quality data, Knowl. Inf. Syst, Springer, 11(2): 131-136.

[2] Shichao Zhang, Xindong Wu, Chengqi Zhang, Jingli Lu (2007), Computing the minimum-support for mining frequent, Knowledge and Information Systems, Springer, 15(2):233-257.

[3] Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams (2007),Domain Driven Data Mining, SIGKDD Explorations, ACM, 9(2): 84-86.

[4] Shichao Zhang, Jilian Zhang, Chengqi Zhang (2007), EDUA: An efficient algorithm for dynamic database mining, Information Sciences, Elsevier, 177(13): 2756-2767.

[5] Zili Zhang, Chengqi Zhang (2007), Building agent-based hybrid intelligent system: A case study, Intelligence and Agent Systems-An international journal, IOS Press, 5 (3): 255-271.

[6] Qingfeng Chen, Phoebe Yi-ping Chen, Chengqi Zhang (2007), Detecting inconsistency in biological molecular databases using ontologies, Data Mining and Knowledge Discovery, Springer, 15 (2): 275-296.

[7] Longbing Cao, Chengqi Zhang (2007), The evolution of KDD: Towards domain-driven data mining, International Journal of Pattern Recognition and Artificial Intelligence(IJPRAI), World Scientific, 21(4): 677-692.

[8] Longbing Cao (2007), Domain-Driven, Actionable Knowledge Discovery, IEEE Intelligent Systems, IEEE Computer Society, 22 (4): 78-88.

[9] Longbing Cao, Dan Luo, Chengqi Zhang (2007), Knowledge Actionability: Satisfying Technical and Business Interestingness, International Journal of Business Intelligence and Data Mining, Inderscience, 2(4): 496-514.

[10] Longbing Cao, Zili Zhang, Vladimir Gorodetsky, Chengqi Zhang (2007), Editor's Introduction: Interaction between agents and data mining, International Journal of Intelligent Information and Database Systems, Inderscience, 1(4).

[11] Xiaowei Yan, Chengqi Zhang and Shichao Zhang (2007), On Data Structures for Association Rule Discovery, Applied Artificial Intelligence, Taylor & Francis, 21(2): 57-79.

[12] Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang (2007), Semi-parametric Optimization for Missing Data Imputation, Applied Intelligence, Springer, 27(1): 79-88.

 

Conference Articles

[1] Qingfeng Chen, Shichao Zhang, Phoebe Yi-ping Chen (2007), Identifying Dependency Between Secure Messages for Protocol Analysis, KSEM 2007, Springer, 30-38.

[2] Dan Luo, Longbing Cao, Jiari Ni, Li Liu (2007), Building Agent Service Oriented Multi-Agent Systems, KES-AMSTA 2007, Springer, 11-20.

[3] Longbing Cao, Yanchang Zhao, Fernando Figueiredo, Yuming Ou, Dan Luo (2007), Mining High Impact Exceptional Behavior Patterns, PAKDD Workshops 2007, Springer, 56-63.

[4] Longbing Cao (2007), Multi-strategy Integration for Actionable Trading Agents, WI/IAT Workshops 2007, IEEE Computer Society, 487-490.

[5] Longbing Cao (2007), Activity Mining: Challenges and Prospects, ADMA 2007, Springer, 582-593.

[6] Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang (2007), Class Association Rule Mining with Multiple Imbalanced Attributes, AI 2007, Springer, 827-831.

[7] Zhangyan Xu, Chengqi Zhang, Shichao Zhang, We Bingru Yangi Song, (2007), Efficient Attribute Reduction Based on Discernibility Matrix, RSKT 2007, Springer, 13-21.

[8] Yuming Ou, Longbing Cao, Ting Yu, Chengqi Zhang (2007), Detecting Turning Points of Trading Price and Return Volatility for Market, WI/IAT Workshops 2007, IEEE Computer Society, 491-494.

[9] Dan Luo, Longbing Cao, Chao Luo, Chengqi Zhang (2007), Towards Business Interestingness in Actionable Knowledge Discovery, PAKDD2007 workshop, Springer.

[10] Chengqi Zhang, Longbing Cao (2007), Keynote: Activity Mining to Strengthen Debt Prevention, PAISI 2007, Springer.

[11] Yanchang Zhao, Huaifeng Zhang, Fernando Figueiredo, Longbing Cao, Chengqi Zhang (2007), Mining for Combined Association Rules on Multiple Datasets, ACM 2007 international workshop on Domain driven data mining, ACM, 18-23.

[12] Longbing Cao, Chao Luo, Chengqi Zhang (2007), Agent-Mining Interaction: An Emerging Area, AIS-ADM 2007, Springer, 60-73.

[13] Longbing Cao, Chao Luo, Chengqi Zhang (2007), Developing Actionable Trading Strategies for Trading Agents, IAT 2007, IEEE Computer Society, 72-75.

[14] Longbing Cao, Chengqi Zhang (2007), F-Trade: An Agent-Mining Symbiont for Financial Services, AAMAS 2007, IFAAMAS, 1363-1364.

[15] Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang (2007), Cost-Time Sensitive Decision Tree with Missing Values, KSEM 2007, Springer, 447-459.

[16] Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang (2007), GBKII: An Imputation Method for Missing Values, PAKDD 2007, Springer, 1080-1087.

[17] Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang (2007),Measuring the uncertainty of differences for contrasting groups, AAAI 2007, AAAI Press, 1920-1921.

[18] Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang (2007), Cost-Sensitive Imputing Missing Values with Ordering, AAAI 2007, AAAI Press, 1922-1923.

 

2006

Monographs

 

Edited books

 

Book Chapters

 

Special Issues

Shichao Zhang and Mohammed J. Zaki (Eds.) (2006), Mining Multiple Data Sources: Local Pattern Analysis, Special Issue of Data Mining and Knowledge Discovery, 12(2-3): 121-125.

Xue Li, Shichao Zhang and Shuliang Wang (Eds.) (2006), Advances in Data Mining Applications., International Journal of Data Warehousing and Mining, IJDWM special issue, Vol 2(3).

Journal Articles

[1] Yanchang Zhao and Shichao Zhang (2006), Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society, vol. 18, no. 2, pp. 231-244.

[2] Longbing Cao, Chengqi Zhang (2006), Domain-driven data mining: A practical methodology, International Journal of Data Warehousing and Mining (IJDWM), IGI Global, 2(4): 49-65.

[3] Longbing Cao, Chengqi Zhang, Jiming Liu (2006), ONTOLOGY-BASED INTEGRATION OF BUSINESS INTELLIGENCE, International journal on Web Intelligence and Agent Systems, IOS Press, 4(3): 313-325.

Conference Articles

[1] Longbing Cao, Jiari Ni, Dan Luo (2006), Ontological Engineering in Data Warehousing, APWeb 2006, Springer, 923-929.

[2] Longbing Cao, Chao Luo, Jiarui Ni, Dan Luo, Chengqi Zhang (2006), Stock Data Mining through Fuzzy Genetic Algorithms, JCIS 2006, Atlantis Press.

[3] Longbing Cao, Chengqi Zhang (2006), Domain-Driven Actionable Knowledge Discovery in the Real World, PAKDD 2006, Springer, 821-830.

[4] Longbing Cao, Chengqi Zhang, Dan Luo, Ruwei Dai (2006), Intelligence Metasynthesis in Building Business Intelligence Systems, WImBI 2006, Springer, 454-470.

[5] Longbing Cao, Dan Luo, Chengqi Zhang (2006), Fuzzy Genetic Algorithms for Pairs Mining, PRICAI 2006, Springer, 711-720.

[6] Jiaqi Wang, Chengqi Zhang (2006), Dynamic Focus Strategies for Electronic Trade Execution in Limit Order Markets, CEC/EEE 2006, IEEE Computer Society, 26.

[7] Jiaqi Wang, Chengqi Zhang, Xindong Wu, Hongwei Qi (2006), SVM-OD: SVM method to detect outliers, Foundations and Novel Approaches in Data Mining 2006, Springer, 129-141.

[8] Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang (2006),Optimized parameters for missing data imputation, PRICAI 2006, Springer, 1010-1016.

[9] Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang and Chengqi Zhang (2006),Kernel-based multi-imputation for missing data, Frontiers in Artificial Intelligence and Applications - Advances in Intelligent IT - Active Media Technology 2006, IOS Press, 106-111.

[10] Jiarui Ni, Longbing Cao, Chengqi Zhang (2006), Agent services-oriented architectural design of a framework for artificial stock markets, Frontiers in Artificial Intelligence and Applications, IOS Press, 396-399.

[11] Shichao Zhang, Jeffrey Xu Yu, Jingli Lu, Chengqi Zhang (2006), Is Frequency Enough for Decision Makers to Make Decisions, PAKDD 2006, Springer, 499-503.

[12] Zhenxing Qin, Chengqi Zhang and Shichao Zhang (2006), Missing or absent A Question in Cost-sensitive Decision Tree, Frontiers in Artificial Intelligence and Applications - Advances in Intelligent IT - Active Media Technology 2006, IOS Press, 118-126.

[13] Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang, Lianggang Li (2006), Mining frequent itemsets for protein kinase regulation, PRICAI 2006, Springer, 222-230.

[14] Yanchang Zhao, Longbing Cao, Yvonne Kist Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang (2006), Discovering debtor patterns of Centrelink customers, AusDM 2006, Australian Computer Society, 135-144.

[15] Yanchang Zhao, Chengqi Zhang and Shichao Zhang (2006), Enhancing DWT for recent-biased dimension reduction of time, AI 2006, Springer, 1048-1053.

[16] Chengqi Zhang, Feng Chen, Xindong Wu, Shichao Zhang (2006), Identifying bridging rules between conceptual clusters, KDD 2006, ACM, 815-820.

[17] Yanchang Zhao, Chengqi Zhang, Shichao Zhang and Lianwei Zhao (2006), Adapting K-Means Algorithm for Discovering Clusters in Subspaces, APWeb 2006, Springer, 53-62.

[18] Yanchang Zhao, Chengqi Zhang and Shichao Zhang (2006), Efficiently Discovering Frequent Itemsets by Sampling, Frontiers in Artificial Intelligence and Applications - Advances in Intelligent IT - Active Media Technology 2006, IOS Press, 112-117.

[19] Jiarui Ni, Chengqi Zhang (2006), A dynamic storage method for stock transaction data, CI 2006, IASTED/ACTA Press, 350-355.

[20] Jiarui Ni, Chengqi Zhang (2006), A human-friendly MAS for mining stock data, IAT Workshops 2006, IEEE Computer Society, 19-22.

[21] Jiarui Ni, Chengqi Zhang (2006), Mining better technical trading strategies with genetic algorithms, AIDM '06, IEEE Computer Society, 26-33.

[22] Qingfeng Chen, Phoebe Yi-ping Chen, Shichao Zhang, Chengqi Zhang (2006), Detecting Collusion in Security protocols, APWeb 2006, Springer, 297-306.

 

2005

Monographs

Edited books

Shichao Zhang and Ray Jarvis (Eds.) (2005), AI 2005: Advances in Artificial Intelligence, 18th Australian joint conference on Artificial, Sydney, Australia, December, LNAI 3809, Springer, p. 1344.

Book Chapters

Special Issues

Chengqi Zhang, Qiang Yang and Bing Liu (2005), Guest Editors' Introduction: Special Section on Intelligent Data Preparation, IEEE Trans. Knowl. Data Eng., 17(9): 1163-1165.

Journal Articles

[1] Xiaowei Yan, Chengqi Zhang and Shichao Zhang (2005), Mining Association Rules with Genetic Algorithms, Applied Artificial Intelligence, Vol 19, No 7(2005): 677 - 689.

[2] Kai-Yuan Cai, Yunfei Yin, and Shichao Zhang (2005), A Partial-Repeatability Approach to Data Mining, The IEEE Intelligent Informatics Bulletin, 5(1): 26-34.

[3] Chengqi Zhang, Zhenxing Qin, Xiaowei Yan (2005), Association-Based Segmentation for Chinese-Crossed Query Expansion, IEEE Intelligent Informatics Bulletin, 5(1): 18-25.

[4] Jeffrey Xu Yu, Yuming Ou, Chengqi Zhang, Shichao Zhang (2005), Identifying Interesting Customers through Web Log Classification, IEEE Intelligent Systems, 20(3): 55-59.

[5] Chengqi Zhang, Qiang Yang, Bing Liu (2005), Guest Editors' Introduction: Special Section on Intelligent Data Preparation, IEEE Trans. Knowl. Data Eng., 17(9): 1163-1165.

[6] Xiaochun Cheng, Dantong Ouyang, Yunfei Jiang, Chengqi Zhang (2005), An improved model-based method to test circuit faults, Theor. Comput. Sci., 341(1-3): 150-161.

[7] Shichao Zhang, Zhenxing Qin, Charles Ling and Shengli Sheng (2005), "Missing is Useful": Missing Values in Cost-sensitive Decision Trees, IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 12 (2005), pp.1689-1693.

[8] Wang Jiaqi, Xindong Wu, Chengqi Zhang (2005), Support vector machines based on K-means clustering for real time business, Intelligence systems on international journal of business intelligence and data mining, Vol. 1, No.1 pp. 54 - 64.

 

Conference Articles

[1] Xiaoying Kong, Li Liu, David B Lowe (2005), Web system trace model using a web application architecture framework, 2005 IEEE International Conference On E-Technology, E-Commerce And E-Service, IEEE Computer Society, 508-513.

[2] Qingfeng Chen, Yi-Ping Phoebe Chen, Chengqi Zhang, Shichao Zhang (2005), A Framework for Merging Inconsistent Beliefs in Security Protocol Analysis, DEEC 2005, IEEE Computer Society, 119-124.

[3] Yanchang Zhao, Chengqi Zhang and Shichao Zhang (2005), A Recent-Biased Technique for Dimension Reduction, PAKDD-05, Springer, 751-757.

[4] Li Lin, Longbing Cao and Chengqi Zhang (2005), The Visualization of Large Database in Stock Market, Databases and Applications(DBA2005), IASTED/ACTA Press, 163-166.

[5] Longbing Cao, Rick Schurmann and Chengqi Zhang (2005), Domain-Driven In-Depth Pattern Discovery: A Practical Methodology, Australian Data Mining Conf., 101-114.

[6] Longbing Cao, Chengqi Zhang, Jiarui Ni (2005), Agent Services-Oriented Architectural Design of Open Complex Agent Systems, IAT 2005, IEEE Computer Society, 120-123.

[7] Jiarui Ni, Chengqi Zhang (2005), An Efficient Implementation of the Backtesting of Trading Strategies, ISPA 2005, Springer, 26-131.

[8] Li Lin, Longbing Cao, Chengqi Zhang (2005), The Fish-eye Visualization of Foreign Currency Exchange Data Streams, APVIS 2005, Australian Computer Society, 91-96.

[9] Li Lin, Longbing Cao, Chengqi Zhang (2005), Genetic Algorithms for Robust Optimization in Financial Applications, Computational Intelligence 2005, IASTED/ACTA Press, 387-391.

[10] Li Lin, Dan Lou, Li Liu (2005), Mining Domain-Driven Correlations in Stock Markets, AI 2005, Springer, 979 - 982.

[11] Chunsheng Li , Li Liu (2005), MAHIS: An Agent-Oriented Methodology for Constructing Dynamic Platform-Based HIS, AI 2005, Springer, 705 - 714.

[12] Yiming Yang, Qiang Yang, Wei Lu, Jialin Pan, Rong Pan, henhui Lu, Lei Li, Zhenxing Qin (2005), Preprocessing Time Series Data for Classi.cation with Application to CRM, AI 2005, Springer, 133- 142.

[13] Lianwei Zhao, Yanchang Zhao, Siwei Luo, Chao Shao (2005), Construction Algorithm of Principal Curves in the Sense of Limit, AI 2005, Springer, 264 -273.

[14] Zhenxing Qin, Chengqi Zhang, Xuehui Xie, Shichao Zhang (2005), Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales, FSKD (1) 2005, Springer, 402-405.

[15] Chengqi Zhang, Shichao Zhang (2005), In-Depth Data Mining and Its Application in Stock Market, ADMA 2005, Springer, 13.

[16] Chengqi Zhang, Zili Zhang, Longbing Cao (2005), Agents and Data Mining: Mutual Enhancement by Integration, ADMA 2005, Springer, 50-61.

[17] Ailing Ni, Xiaofeng Zhu, Chengqi Zhang (2005), Any-Cost Discovery: Learning Optimal Classification Rules, AI 2005, Springer, 123-132.

[18] Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang (2005), A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases, DaWaK 2005, Springer, 305-314.

 

2004

Monographs

Shichao Zhang, Chengqi Zhang and Xindong Wu (2004), Knowledge Discovery in Multiple Databases, published by Springer-Verlag Publishers, 233p.

Zili Zhang and Chengqi Zhang (2004), Agent-Based Hybrid Intelligent Systems -- An Agent-Based Framework for Complex Problem Solving, published by Springer-Verlag Publishers in Lecture Notes in Artificial Intelligence, LNAI-2938, 196p.

Edited books

Chengqi Zhang, Hans W. Guesgen and Wai-Kiang Yeap (2004), PRICAI 2004: Trends in Artificial Intelligence, 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004, published by Springer-Verlag Publishers in Lecture Notes in Artificial Intelligence, LNAI-3157.

Honghua Dai, Ramakrishnan Srikant and Chengqi Zhang (2004), Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2004, Sydney, Australia, May 26-28, 2004, published by Springer-Verlag Publishers in Lecture Notes in Artificial Intelligence, LNAI-3056.

Book Chapters

Zili Zhang and Chengqi Zhang (2004), Constructing Hybrid Intelligent Systems for Data Mining from Agent Perspectives, The Handbook of Intelligent IT, edited by Ning Zhong and Jiming Liu, published by Springer-Verlag Publishers, pp. 327-353.

Special Issues

Shichao Zhang, Chengqi Zhang and Qiang Yang (Eds.) (2004), Information Enhancement, Special Issue of IEEE Intelligent Systems, vol. 9, no. 2.

Journal Articles

[1] Xiaowei Yan, Chengqi Zhang and Shichao Zhang (2004), Identifying Software Component Association with Genetic Algorithm, International Journal of Software Engineering and Knowledge Engineering: Special Issue on Data Mining for Software Engineering and Knowledge Engineering, 14(2004), 4: 441-447.

[2] Chengqi Zhang, Meiling Liu, Wenlong Nie and Shichao Zhang (2004), Identifying Global Exceptional Patterns in Multi-database Mining, IEEE Computational Intelligence Bulletin, 3(2004), 1: 19-24.

[3] Xindong Wu, Chengqi Zhang and Shichao Zhang (2004), Efficient Mining of Both Positive and Negative Association Rules, ACM Transactions on Information Systems, 22(2004), 3: 381-405.

[4] Xiaochun Cheng, Xianchuan Yu, Chunsheng Li, and Chengqi Zhang (2004), Theory and application of non-linear spatial information statistics, Daqing Petroleum Institute Journal, 28(2004), 1:70-72.

[5] Shichao Zhang, Chengqi Zhang and Qiang Yang (Eds.) (2004), Information Enhancement, Special Issue of IEEE Intelligent Systems, 19(2004), 2:12-13.

[6] Shichao Zhang, Jingli Lu and Chengqi Zhang (2004), A Fuzzy-logic-based Method to Acquire User Threshold of Minimum-Support for Mining Association Rules, Information Sciences, 64(2004), 1-4: 1-16.

[7] Shichao Zhang, Chengqi Zhang and Jeffrey Xu Yu (2004), An Efficient Strategy for Mining Exceptions in Multi-databases, Information Sciences, 165(2004), 1-2: 1-20.

[8] Shichao Zhang, Chengqi Zhang and Jeffrey Xu Yu (2004), Mining Dependent Patterns in Probabilistic Databases, Cybernetics and Systems, 35(2004), 4: 399-424.

[9] Chunsheng Li, Li Liu, and Qingfeng Song (2004), A Practical Framework for Agent-based Hybrid Intelligent Systems, Asian Journal of Information Technology, Grace Publications Network, 3 (2004), 2: 107-114..

 

Conference Articles

[1] Qingfeng Chen, Chengqi Zhang and Shichao Zhang (2004), A Verification Model for Electronic Transaction Protocols, Proceedings of the Sixth Asia Pacific Web Conference, LNCS Springer, Hangzhou, China, April 14 -17, 2004, pp. 824-833.

[2] Shichao Zhang, Li Liu, Jingli Lu, and Yuming Ou (2004), Is Minimum-Support Appropriate to Identifying Large Itemsets?, Proceedings of 8th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2004), Auckland, New Zealand, August 11-13, 2004, pp.474-484.

[3] Qingfeng Chen and Shichao Zhang (2004), Dealing with Inconsistent Secure Messages, Proceedings of 8th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2004), Auckland, New Zealand, August 11-13, 2004, pp.33-42.

[4] Charles Ling, Qiang Yang, Jianning Wang and Shichao Zhang (2004), Decision Trees with Minimal Costs, Proceedings of 21st International Conference on Machine Learning, Banff, Alberta, Canada, July 4-8, 2004, Article No. 69.

[5] Chunsheng Li, Zili Zhang, and Chengqi Zhang (2004), A Platform for Dynamic Organization of Agents in Agent-Based Systems, Proceedings of the 2004 IEEE/WIC International Conference on Intelligent Agent Technology (IAT-2004), IEEE Press, Beijing, China, September 20-24, 2004, pp.454-457.

[6] Chunsheng Li, Qingfeng Song, and Chengqi Zhang (2004), MA-IDS Architecture for Distributed Intrusion Detection using Mobile Agents, Proceedings of the 2nd International Conference on Information Technology and Applications (ICITA2004), Harbin, China, January 8-11, 2004, pp.451-455.

[7] Chunsheng Li, Dan Cheng and Chengqi Zhang (2004), A platform to Integrate Well-Long Information Applications on Heterogeneous Environments, in Proceedings of the 2nd International Conference on Information Technology and Applications (ICITA2004), Harbin, China, January 8-11, 2004, pp.265-270.

[8] Li Lin, Longbing Cao, Jiaqi Wang and Chengqi Zhang (2004), The Applications of Genetic Algorithms in Stock Market Data Mining Optimisation, Proceedings of Fifth International Conference on Data Mining, Text Mining and their Business Applications, Malaga, Spain, September 15-17, 2004, pp. 273-280.

[9] Li Lin, Yunfei Jiang, Zhaofu Fan and Chengqi Zhang (2004), Dynamic Value-Based Diagnosis System for Assembler Programs, Proceedings of 15th International Workshop on Principles of Diagnosis, Carcassonne, France, June 23-25, 2004, pp.209-213.

[10] Li Lin, and Chengqi Zhang (2004), Dynamic The Applications of Fussy Sets in Finding the Best Stock-Rule Pairs, Proceedings of 5th International conference on Recent Advances in Soft Computing(RASC’04), Nottingham, UK., Dec. 16-18, 2004, pp.472-476.

[11] Zhenxing Qin, Li Liu, and Shichao Zhang (2004), Mining Term Association Rules for Heuristic Query Construction, Proceedings of the Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’04), Sydney, Australia, May 26-28 2004, pp.145-154.

[12] Zhenxing Qin, Shichao Zhang, and Chengqi Zhang (2004), Cost-Sensitive Decision Trees with Multiple Cost Scales, Proceedings of 17th Australian Joint Conference on Artificial Intelligence, G.I. Webb and Xinghuo Yu (Eds.): AI2004, LNAI 3339, Cairns, Australia, Dec. 4-6, 2004, pp. 380-390.

[13] Jiaqi Wang and Chengqi Zhang (2004), Support vector machines based on set covering, Proceedings of the 2nd International Conference on Information Technology and Applications (ICITA2004), Harbin, China, January 8-11, 2004, pp.181-184.

[14] Jiaqi Wang and Chengqi Zhang (2004), KBSVM: KMeans-Based SVM for Business Intelligence, Proceedings of the 10th International Conference on AMCIS 2004 New York, USA, August 5-7, 2004, pp.1889-1893.

[15] Longbing Cao, Chao Luo, Dan Luo, Chengqi Zhang (2004), Hybrid Intelligent Analysis and Control of Telecommunications Frauds, Proceedings of the 2nd International Conference on Information Technology and Applications (ICITA2004), Harbin, China, January 8-11, 2004, pp.11-15.

[16] Longbing Cao, Chengqi Zhang, Dan Luo, Wanli Chen, Neda Zamani (2004), Integrative Early Requirements Analysis for Agent-Based Systems, The 4th Int.Conf. on Hybrid Intelligent Systems, IEEE Computer Society Press, Kitakyushu, Japan, Dec. 6-8, 2004.

[17] Longbing Cao, Jiarui Ni, Jiaqi Wang, Chengqi Zhang (2004), Agent Services-Driven Plug and Play in the F-TRADE, Proceedings of 17th Australian Joint Conference on Artificial Intelligence, G.I. Webb and Xinghuo Yu (Eds.): AI2004, LNAI 3339, Cairns, Australia, Dec. 4-6, 2004, pp. 917–922.

[18] Longbing Cao, Dan Luo, Chao Luo, Li Liu (2004), Ontology Transformation in Multiple Domains, Proceedings of 17th Australian Joint Conference on Artificial Intelligence, G.I. Webb and Xinghuo Yu (Eds.): AI 2004, LNAI 3339, Cairns, Australia, Dec. 4-6, 2004, pp.985–990.

[19] Longbing Cao, Chao Luo, Dan Luo, and Chengqi Zhang (2004), Integration of Business Intelligence Based on Three-Level Ontology Services, Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), IEEE Computer Society Press, Beijing, China, Sep. 20 -22, 2004, pp.17-23.

[20] Longbing Cao, Jiaqi Wang, Li Lin, and Chengqi Zhang (2004), Agent Services-Based Infrastructure for Online Assessment of Trading Strategies, Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), IEEE Computer Society Press, Beijing, China, September 20-24, 2004, pp.345-349.

[21] Longbing Cao, Chao Luo, Dan Luo, Li Liu (2004), Ontology Services-Based Information Integration in Mining Telecom Business Intelligence, Proceedings of PRICAI04, Springer Press, Auckland, New Zealand, August 11-13, 2004, pp.85-94.

[22] Yanchang Zhao, Chengqi Zhang and Shichao Zhang (2004), Discovering Interesting Association Rules by Clustering, Proceedings of 17th Australian Joint Conference on Artificial Intelligence, G.I. Webb and Xinghuo Yu (Eds.): AI 2004, LNAI 3339, Cairns, Australia, Dec. 4-6, 2004, pp.1055-1061.

[23] Yanchang Zhao, Chengqi Zhang and Yi-Dong Shen (2004), Clustering High-Dimensional Data with Low-Order Neighbors, Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence(WI'04), IEEE Computer Society Press, Beijing, China, September 20-24, 2004, pp. 103-109.

[24] Wanli Chen (2004), An Investment Decision Support System (IDSS) for Identifying Positive, Neutral and Negative Investme, Proceedings of International Conference on Electronic Business. Theme: Shaping Business Strategy in a Networked Word. Beijing, China, December 5-9, 2004, pp. 1109-1118.

[25] Richard Y. D. Xu, John G. Allen and Jesse S. Jin (2004), Robust Mean-shift Tracking with Extended Fast Colour Thresholding, Proceedings of International Symposium on Intelligent Multimedia, Video and Speech Processing (ISIMP2004), Hong Kong, Oct 20 - 22. 2004, pp. 542-545.

[26] Richard Y. D. Xu, John G. Allen and Jesse S. Jin (2004), Constant video frame control under multiple periodic content dependant video processing, Constant video frame control under multiple periodic content dependant video processing.

 

 

2003

Monographs

 

Edited books

 

Book Chapters

Chengqi Zhang and Zili Zhang (2003), An Agent-Based Soft Computing Society with Applications in Financial Investment Planning, Applied Decision Support with Soft Computing, edited by Xinghuo Yu, Janusz Kacprzyk, and Christer Carlsson, Springer-Verlag Publishers, pp.99-126.

 

Special Issues

Shichao Zhang, Chengqi Zhang and Qiang Yang (Eds.) (2003), Data Cleaning and Preprocessing, Special Issue of Applied Artificial Intelligence, Volume 17, pp.5-6.

Journal Articles

[1] Yuefeng Li, Chengqi Zhang, and Shichao Zhang (2003), Cooperative strategy for web data mining and cleaning, Applied Artificial Intelligence -- the special issue on Data Cleaning and Preprocessing, vol. 17, 5-6 (2003): 443-460.

[2] Xiaowei Yan, Chengqi Zhang, and Shichao Zhang (2003), Toward databases mining: pre-processing collected data, Applied Artificial Intelligence -- the special issue on Data Cleaning and Preprocessing, vol. 17, 5-6 (2003): 545-561.

[3] Xiaowei Yan and Li Liu (2003), Indexing by conditional asssociation semantic, Asian Journal of International Technology, vol 2(2), 2003, p50-55.

[4] Chunsheng Li, Lingping Yang and Mei Wang (2003), Auto-design of petroleum geology project based on 3-layer B/S mode, Daqing Petroleum Institute Journal, vol. 27(3), 2003, pp.57-59.

[5] Shichao Zhang and Chengqi Zhang (2003), A Probabilistic Data Model and its Semantics, Journal of Research and Practice in Information Technology, vol. 35, No. 4(2003): 227-246.

[6] Longning Cao and Ruwei Dai (2003), Agent-oriented metasynthetic engineering for decision making, nternational Journal of Information Technology and Decision Making, Vol.2 (2), pp.197-215.

[7] Shichao Zhang and Li Liu (2003), Mining Dynamic databases by Weighting, Acta Cybernetica, 16(2003): 179-205.

[8] Shichao Zhang and Chengqi Zhang (2003), Discovering Associations in Very Large Databases by Approximating, Acta Cybernetica, 16(2003): 155-177.

[9] Shichao Zhang, Chengqi Zhang and Xiaowei Yan (2003), PostMining: Maintenance of Association Rules by Weighting, Information Systems, vol. 28, no.7, pp.691-707.

[10] Shichao Zhang, Xindong Wu and Chengqi Zhang (2003), Multi-Database Mining, IEEE Computational Intelligence Bulletin, vol. 2, No.1, 5-13.

[11] Zili Zhang, Chengqi Zhang, and Shichao Zhang (2003), An agent-based hybrid framework for database mining, Applied Artificial Intelligence -- the special issue on Data Cleaning and Preprocessing, vol. 17, 5-6 (2003): pp.383-398.

[12] Chengqi Zhang, Shichao Zhang and Zili Zhang (2003), Temporal Constraint Satisfaction in Matrix Method, Applied Artificial Intelligence, vol. 17, 2(2003), pp.135-154..

[13] Shichao Zhang, Chengqi Zhang, and Qiang Yang (2003), Data Preparation for Data Mining, Applied Artificial Intelligence -- the special issue on Data Cleaning and Preprocessing, vol. 17, 5(2003), 375-382.

[14] Xindong Wu and Shichao Zhang (2003), Synthesizing High-Frequency Rules from Different Data Sources, IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 2, 353-367.

[15] Chengqi Zhang, Shichao Zhang and Geoffrey Webb (2003), Identifying Approximate Itemsets of Interest in Large databases, Applied Intelligence, 18(2003): 91-104.

[16] Li Niu, Xiaowei Yan, Chengqi Zhang and Shichao Zhang (2003), Product Hierarchy-based Customer Profiles for Electronic Commerce Recommendation, Asian Journal of Information Technology, 2003 2(1): 18-24.

[17] Shichao Zhang, Chengqi Zhang and Zhenxing Qin (2003), Modeling Temporal Semantics of Data, Asian Journal of Information Technology, 2003 2(1): 25-35.

 

 

Conference Articles

[1] Xiaochun Cheng, Dantong Quyang, and Chengqi Zhang (2003), A logic framework with algebraic extension, Proceedings of the 25th International Conference on Information Technology Interfaces, Cavtat, Croatia, 16-19 June 2003, pp. 633-638.

[2] Xiaochun Cheng, Dantong Quyang, and Chengqi Zhang (2003), A general model-based diagnosis, Proceedings of the 25th International Conference on Information Technology Interfaces, Cavtat, Croatia, 16-19 June 003, pp. 627-632.

[3] Zili Zhang and Chengqi Zhang (2003), Building agent-based gybrid intelligent systems, Design and Application of Hybrid Intelligent System (Proceedings of International Conferencec on Hybrid Intelligent System), Melbourne, Australia, 14-17 Dec 2003, pp. 799-808.

[4] Longbing Cao, Dan Luo, Chao Luo, and Chengqi Zhang (2003), Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System, Design and Application of Hybrid Intelligent System (Proceedings of International Conferencec on Hybrid Intelligent System), Melbourne, Australia, 14-17 Dec 2003, pp. 1084-1093.

[5] iaqi Wang, Chengqi Zhang, Xindong Wu, Hongwei Qi, and Jue Wang (2003), SVM-OD: A New SVM Algorithm for Outlier Detection, the Third IEEE International Conference on Data Mining: Foundations and New Directions in Data Mining Workshop Notes, Melbourne, Florida, USA, 19-22 Nov 2003, pp. 203-209.

[6] Chunsheng Li, Chengqi Zhang, and Longbing Cao (2003), Theortical evaluation of ring-based architectural model for middle agents in agent-based system, Proceedings of the 14th International Symposium on Methodologies for Intelligent Systems (ISMIS'03), Maebashi, Japan, October 28-31, 2003, pp. 603-607.

[7] Wenlong Nie, Shier Ju, and Shichao Zhang (2003), Ontology based Parsing in NLU, Proceedings of 2003 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), Beijing, China, Oct 26-29, 2003.

[8] Chunsheng Li, Chengqi Zhang, Mei Wang, and Qingfeng Song (2003), An approach to digitizing and managing well-logging graphs with agent-based perspective, Proceedings of the 2003 IEEE/WIC International Conference on Inteligent Agent Technology (IAT-2003), Halifax, Canada, October 13-17, 2003, pp.11-17.

[9] Chunsheng Li, Qingfeng Song, Mei Wang, and Chengqi Zhang (2003), SCTR: an approach to digitizing well-logging graph, Proceedings of the 6th IASTED International Conference on Computers, Graphics and Imaging (CGIM 2003), Honolulu, USA, August 13-15, 2003, pp.285-288.

[10] Longbing Cao, Chao Luo, Chunsheng Li, Chengqi Zhang, and Ruwei Dai (2003), Open giant intelligent information systems and its agent-oriented abstraction mechamism, Proceedings of the fifteenth International Conference on Software Engineering and Knoledge Engineering (SEKE 2003), San Francisco, California, USA, July 1-3, 2003, pp.85-89.

[11] Xiaowei Yan, Chengqi Zhang, and Shichao Zhang (2003), A Database-Independent Strategy for Confidence Determination, Proceedings of the SEKE 2003, San Francisco, USA, July 1-3, 2003.

[12] Longbing Cao, Chunsheng Li, Chengqi Zhang, and Ruwei Dai (2003), Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design, Proceedings of The 2003 International Conference on Software Engineering Research and Practice (SERP'03), Las Vegas, Nevada, USA, June 23-26, 2003, vol.2, pp. 816-822.

[13] Chunsheng Li, Chengqi Zhang, and Mei Wang (2003), Chunsheng Li, Chengqi Zhang, and Mei Wang, Proceedings of the 2nd International Conference on Active Media Technology (ICAMT'03), Chongqing, China, May 29-31, 2003, pp.114-119.

[14] Xiaowei Yan, Chengqi Zhang and Shichao Zhang (2003), Indexing by Conditional Association Semantic, Proceedings of the 14th IRMA International Conference, Philadelphia, PA, USA, May 18-21, 2003.

[15] Xiaowei Yan, Chengqi Zhang and Shichao Zhang (2003), Identifying Frequent Terms in Text Databases Using Association Semantic, Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC 2003), Las Vegas, Nevada, USA, April 28-30, 2003, pp.672-675.

[16] Chunsheng Li, Chengqi Zhang, and Mei Wang (2003), An Agent-Based Curve-Digitizing System for Well-Logging Data Management, Proceedings of the International Conference on Information Technology : Coding and Computing (ITCC 2003), Las Vegas, Nevada, USA, April 28-30, 2003, pp.656-660.

[17] Qingfeng Chen, Chengqi Zhang, Shichao Zhang, and Chunsheng Li (2003), Verifying the Purchase Request in SET Protocol, Proceedings of the Fifth Asia Pacific Web Conference (APWeb03), April 23-25, 2003, Xi'an, China, pp. 263-274.

[18] Xiaowei Yan, Chengqi Zhang, and Shichao Zhang (2003), A Database-Independent Approach of Mining Association Rules with Genetic Algorithm, Proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2003), Match 21-23, 2003, Hong Kong, pp882-886.

[19] Qingfeng Chen, Chengqi Zhang, and Shichao Zhang (2003), Verifying the Payment Authorization in SET Protocol, Proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2003), Match 21-23, 2003, Hong Kong, pp914-918.

[20] Chunsheng Li, Chengqi Zhang, and Zili Zhang (2003), A Ring-Based Architectural Model for Middle Agents in Agent-Based System, Proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2003), Match 21-23, 2003, Hong Kong, pp94-98.

[21] Chunsheng Li, Chengqi Zhang, Qingfeng Chen, and Zili Zhang (2003), A Scalable and Robust Framework for Agent-Based Heterogeneous Database Operation, Proceedings of the International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC2003), February 12-14, 2003, Vienna, Austria, pp.260-271.

 

 

2002

Monographs

Chengqi Zhang and Shichao Zhang (2002), Association Rules Mining: Models and Algorithms, published by Springer-Verlag Publishers in Lecture Notes in Artificial Intelligence, LNAI-2307, 2002, LNAI-2307, 238p.

 

Edited books

 Shichao Zhang, Qiang Yang and Chengqi Zhang (Eds.) (2002), Proceedings of the First International Workshop on Data Cleaning and Preprocessing (DCAP 2002), University of Technology Sydney and Hong Kong University of Science and Technology, Maebashi City, Japan, December 2002.

 

Book Chapters

 

Special Issues

 

Journal Articles

[1] Xiaowei Yan and Li Liu (2002), A darabase-independent approach of mining association rules with genetic algorithm, Asian Journal of International Technology, vol 2(2), 2003, p45-49.

[2] Xudong Luo, Chengqi Zhang, and Nicholas R. Jennings (2002), A Hybrid Model for Sharing Information between Fuzzy, Uncertain and Default Reasoning Models in mult, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 10:4, pp. 401-450.

[3] Chunsheng Li and Lingling Guo (2002), Data Transfer Between Database and Client-Side Script by ASP Technology, Daqing Petroleum Institute Journal, vol. 26(4), pp.62-64.

[4] Shichao Zhang and Chengqi Zhang (2002), Encoding the Propagation in Belief Networks, IEEE Transactions on Systems, Man and Cybernetics (Part B), vol. 32, no. 4(2002).

[5] Shichao Zhang and Chengqi Zhang (2002), Anytime Mining for Multi-User Applications, IEEE Transactions on Systems, Man and Cybernetics (Part B), vol. 32,no. 4(2002).

[6] Shichao Zhang and Chengqi Zhang (2002), Discovering Causality in Large Databases, Applied Artificial Intelligence, vol. 16:5, pp. 333-358.

[7] Shichao Zhang and Chengqi Zhang (2002), Propagating Temporal Relations of Intervals by Matrix, Applied Artificial Intelligence, vol. 16, pp. 1-27.

[8] Shichao Zhang, Chengqi Zhang and Zhenxing Qin (2002), Algorithms of Querying Temporal Data, Asian Journal of Information Technology, vol. 1 (1)2002: pp. 10-18.

[9] Chunsheng Li, Mei Wang, and Liping Yang (2002), An agent-based system for well-logging data manipulation on Intranet, Daqing Petroleum Institute Journal, vol. 26(1), 2002, pp. 54-56.

 

Conference Articles

[1] Yuefeng Li, Chengqi Zhang and Shichao Zhang (2002), Cooperative strategy web-based data cleaning, Proceedings of the First International Workshop on Data Cleaning and Preprocessing (DCAP02), Japan, 9 Dec. 2002.

[2] Xiaowei Yan, Chengqi Zhang and Shichao Zhang (2002), Towards Databases Mining: Preprocessing Collected Data, Proceedings of the First International Workshop on Data Cleaning and Preprocessing (DCAP02), Japan, 9 Dec. 2002.

[3] Chengqi Zhang, Chunsheng Li, and Zili zhang (2002), An agent-based framework for petroleum information services from distributed heterogeneous data reso, Proceedings of the 9th Asia Pacific Software Engineering Conference (APSEC 2002), December 4-6, 2002, Gold Coast, Australia, pp.593-602.

[4] Zili Zhang and Chengqi Zhang (2002), An Application of Fuzzy Cluster Analysis to Matchmaking in Middle Agents, In Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'02), Singapore, 18-22 November 2002, pp.566-570.

[5] Shichao Zhang, Chengqi Zhang, Xiaowei Yan and Zhenxing Qin (2002), Mind The Trends When You Mine: Incremental Data Mining, Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'02), Singapore, November 18-22, 2002, vol. 1, pp. 146-150.

[6] Chengqi Zhang, Shichao Zhang, Xiaowei Yan and Zhenxing Qin (2002), Identifying Exceptional Patterns in Multi-databases, Proceedings of the 2002 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'02), Singapore, November 18-22, 2002, vol. 2. pp. 476-480.

[7] Chunsheng Li, Chengqi Zhang, and Zili Zhang (2002), An agent-based middleware for uniform operation in a heterogeneous database environment, Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'02), November 18-22, 2002, Singapore, vol.1. pp. 385-389.

[8] Chunsheng Li, Chengqi Zhang, and Zili Zhang (2002), An agent-based intelligent system for informationg gathering from World Wide Web environment, Proceedings of the 2002 International Conference on Machine Learning and Cybernetics (ICMLC02), Beijing, China, November 4-5, 2002, vol.4. pp.1852-1857.

[9] Li Niu, Xiaowei Yan and Shichao Zhang (2002), Product Hierarchy-based Customer Profiles for Electronic Commerce Recommendation, Proceedings of the First International Conference on Machine Learning and Cybernetics, Beijing, China, November 4-5, 2002, pp.1075-1080.

[10] Zili Zhang, Chengqi Zhang, and Yuefeng Li (2002), Initial Value Generation for Matchmaking in Middle Agents, Proceedings of International Conference on Intelligent Information Technology (ICIIT-02), September 22-25, 2002, Beijing, China, pp.12-18.

[11] Qingfeng Chen and Chengqi Zhang (2002), The Verification Logic for Secure Transaction Protocols, Proceedings of International Conference on Intelligent Information Technology (ICIIT-02), September 22-25, 2002, Beijing, China, pp.326-333.

[12] Zili Zhang and Chengqi Zhang (2002), An Agent-Based Hybrid Intelligent System for Financial Investment Planning, Proceedings of 7th Pacific Rim International Conference on Artificial Intelligence, Tokyo, Japan, August 18-22, 2002, pp.355-364.

[13] Xindong Wu, Chengqi Zhang and Shichao Zhang (2002), Mining Both Positive and Negative Association Rules, Proceedings of 19th International Conference on Machine Learning, Sydney, Australia, 8-12 July 2002.

[14] Zili Zhang and Chengqi Zhang (2002), An improved matchmaking algorithm for middle agents, Proceedings of the First Autonomous Agents and Multi-Agent Systems, Bologna, Italy, 15-19 July 2002.

[15] Chengqi Zhang, Xiaowei Yan, Shichao Zhang, and Paul Kennedy (2002), Mining Very Lage Databases Using Software Agents, Proceedings of the International Conference on Machine Learning and Applications (ICMLA'02) , Las Vegas, USA, June 24-27, 2002.

[16] Xiaowei Yan, Chengqi Zhang, Shichao Zhang, and John Debenham (2002), Association Rule Mining by Agents, Proceedings of the International Conference on Machine Learning and Applications (ICMLA'02), Las Vegas, USA, June 24-27, 2002.

[17] Qingfeng Chen, Chengqi Zhang, and Jie Lu (2002), The Verification of Merchant Registration in SET Protocol, Proceedings of the International Conference on Internet Computing (IC'02), Las Vegas, USA, June 24-27, 2002, vol. 3. pp.1098-1104.

[18] Qingfeng Chen and Chengqi Zhang (2002), Using ENDL to verify Cardholder Registration in SET Protocol, Proceedings of the International Conference on E-Business 2002, Beijing, China, 24-26 May 2002, pp. 616-623.

[19] Chengqi Zhang and Shichao Zhang (2002), Database Clustering for Mining Multi-Databases, Proceedings of the 11th IEEE International Conference on Fuzzy Systems, Hawaii, USA, 12-17 May 2002.

[20] Shichao Zhang, Chengqi Zhnag, and Li Liu (2002), Causality Discovery in Databases, Proceedings of The International Congress on Autonomous Intelligent Systems, Geelong, Australia, 12-15 Feb. 2002.

[21] Chengqi Zhang and Shichao Zhang (2002), Identifying Quality Association Rules by External Data, Proceedings of The International Congress on Autonomous Intelligent Systems, Geelong, Australia, 12-15 Feb. 2002.

[22] Zili Zhang and Chengqi Zhang (2002), An Agent-based Hybrid Framework for Database Mining, Proceedings of The International Congress on Autonomous Intelligent Systems, Geelong, Australia, 12-15 Feb. 2002.

 

 

2001

Monographs

 

Edited books

 

Book Chapters

 

Special Issues

 

Journal Articles

[1] Shichao Zhang and Xindong Wu (2001), Large Scale Data Mining Based on Data Partitioning, Applied Artificial Intelligence , Taylor & Francis, vol. 15 2(2001), pp. 129-139.

[2] Chengqi Zhang, Zili Zhang, and Yuefeng Li (2001), A Multi-Agent Framework for Financial Investment Planning, The International Journal of Knowledge-Base Intelligent Engineering Systems, vol. 5:4, pp. 290-300.

[3] Shichao Zhang and Chengqi Zhang (2001), A Model for Compressing Probabilities in Belief Networks, Informatica: an international journal, vol. 25, pp. 409-419.

[4] Xudong Luo, Chengqi Zhang, and Ho-Fung Leung (2001), Information sharing between heterogeneous uncertain reasoning models in a Multi-Agent environment: a, International Journal of Approximate Reasoning, vol. 27:1, pp. 27-59.

[5] Chunsheng Li, Qingfeng Song, and Bilong Wen (2001), Model for data operation on POSC datastore based on Web Server, Daqing Petroleum Institute Journal, vol. 25(1), 2001, pp. 44-46.

 

Conference Articles

[1] Shichao Zhang and Chengqi Zhang (2001), Estimating Itemsets of Interest by Sampling, Proceedings on The 10th IEEE International Conference on Fuzzy Systems, The University of Melbourne, Australia, 2 – 5 December 2001.

[2] Zili Zhang and Chengqi Zhang (2001), Reasoning with Multimedia Information Using Symbolic Projection, Proceedings of The 14th Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, 10 - 14 December 2001, pp. 643-654.

[3] Shichao Zhang and Chengqi Zhang (2001), Pattern Discovery in Probabilistic Databases, Proceedings of The 14th Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, 10 - 14 December 2001, pp. 619-630.

[4] Chengqi Zhang and Shichao Zhang (2001), Collecting Quality Data for Database Mining, Proceedings of The 14th Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, 10 - 14 December 2001, pp. 593-604.

[5] Zili Zhang and Chengqi Zhang (2001), Agent-based portfolio Selection with Data Mining Ability, Proceedings of 8th International Conference on Neural Information Processing, Shanghai, November 14-18, 2001, pp. 553-558.

[6] Kaile Su, Xudong Luo, Huaiqing Wang, Chengqi Zhang, Shichao Zhang, and Qingfeng Chen (2001), A Logical Framework for Knowledge Sharing in Multi-Agent Systems, Proceedings of the 7th Annual International Computing and Combinatorics Conference, Guilin, China, August 20-23, 2001, pp. 561-570.

[7] Shichao Zhang and Chengqi Zhang (2001), Mining small databases by collecting knowledge, Proceedings of 7th International Conference on Database Systems for Advanced Applications DASFAA2001), Published by IEEE Publishers, pp.154-155.

[8] Chengqi Zhang and Zili Zhang (2001), Approaches to implementing decision aggregation in multi-agent systems, Proceedings of the ISCA 16th International Conference on Computers and Their Applications, ISCA publisher, Seattle, USA, March 28-30, 2001, pp. 314 – 317.

[9] Zili Zhang and Chengqi Zhang (2001), Post-processing of multimedia information - concepts, problems, and Techniques, Proceedings of the ISCA 16th International Conference on Computers and Their Applications, ISCA publisher, Seattle, USA, March 28-30, 2001, pp. 318 – 321.

 

 

2000

Monographs

Chunsheng Li, Bilong Wen,Xuejin Gu, and Man Yuan (2000), Integrated Technology of POSC Data Platform and Its Applications, Harbin Institute of Technology Press, Harbin, China, 190p

 

Edited books

Chengqi Zhang and Von-Wun Soo (2000), Design and Applications of Intelligent Agents, Lecture Notes in Artificial Intelligence, LNAI-1881, published by Springer, 185p.

 

Book Chapters

 

Special Issues

 

Journal Articles

 

Conference Articles

 

Books

  1. Kennedy, P. J., Ong, K.-L, and Christen, P., (eds.), (2009), Data Mining and Analytics 2009: Proceedings of the Eighth Australasian Data Mining Conference (AusDM’09), Conferences in Research and Practice in IT (CRPIT), Vol. 101., Australian Computer Society: Sydney.

  2. Roddick, J. F., Li, J., Christen, P. and Kennedy, P. J., (eds.), (2008), Data Mining and Analytics 2008: Proceedings of the Seventh Australasian Data Mining Conference (AusDM’08), Conferences in Research and Practice in IT (CRPIT), Vol. 87., Australian Computer Society: Sydney.

  3. Christen, P., Kennedy, P. J., Li, J., Kolyshkina, I., and Williams, G. J., (eds.), (2007), Data Mining and Analytics 2007: Proceedings of the Sixth Australasian Data Mining Conference (AusDM2007), Conferences in Research and Practice in IT (CRPIT), Vol. 70., Australian Computer Society: Sydney.

  4. Christen, P., Kennedy, P. J., Li, J., Simoff, S. J., and Williams, G. J., (eds.), (2006), Data Mining and Analytics 2006: Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Conferences in Research and Practice in IT (CRPIT), Vol. 61., Australian Computer Society: Sydney.

  5. J.K. Debenham (Ed), Proceedings Second Symposium on Professional Practice in AI 2006, with the IFIP World Computer Congress 2006, Santiago, Chile, Springer Verlag, 2006.

  6. J.K. Debenham (ed.), “Professional Practice in Artificial Intelligence”. WCC, 2006. ISBN 2-907801-05-8

Book chapters
  1. F. A. Ubaudi, P. J. Kennedy, D. R. Catchpoole, D. Guo, and S. J. Simoff. Microarray data mining: Selecting trustworthy genes with gene feature ranking. In L. Cao, P. S. Yu, C. Zhang, and H. Zhang, editors, Data Mining for Business Applications, chapter 11, pages 159–168. Springer, 2009.

  2.  Kennedy P., Simoff S.J., Catchpoole D.R., Skillicorn D.B., Ubaudi F. and Al-Oqaily A. (2008). Integrative visual data mining of biomedical data: Investigating cases in chronic fatigue syndrome and acute lymphoblastic leukaemia. In Simoff, S. J., Boehlen, M. H., and Mazeika, A. (eds) (2008). Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, LNCS Vol. 4404, Springer Verlag, Heidelberg, pp. 367-388.

  3.  Sidhu, A. S., Kennedy, P. J., Simoff, S., Dillon, T. S., and Chang, E. (2007), Knowledge Discovery in Biomedical Data Facilitated by Domain Ontologies, in Zhu, X. and Davidson, I. (eds), Knowledge Discovery and Data Mining: Challenges and Realities, IGI Global: Hershey, New York. pp 189-201.

  4. Barry Jay,Research Directions in Parallel Functional Programming, K. Hammond and G.J. Michaelson (eds), chapter 9: Shaping Distributions, pp. 219–232. Springer-Verlag, 1999.

Journal papers
  1. John Milton and Kennedy, P. J., (2008), Static and dynamic selection thresholds governing the accumulation of information in genetic algorithms using ranked populations, Evolutionary Computation, accepted June 2008. [CORE A ranked journal]

  2. D. Zhang, S. Simoff, S. Aciar and J. Debenham, “A Multiagent Recommender System that Utilises Consumer Reviews in its Recommendations”, International Journal of Intelligent Information and Database Systems, Vol 2, No 1, 2008.

  3. J.K. Debenham, “A Bargaining Agent Models Its Opponent with Entropy-based Inference”in “Uncertainty and Intelligent Information Systems” B. Bouchon-Meunier, R.R. Yager, C. Marsala, and M. Rifqi eds, World Scientific,  2008, 978-981-279-234-1.

  4. Ante Prodan, Vinod Mirchandani and John Debenham, “A Topology Control based Self-Organization in Wireless Mesh Networks”,  in International Journal of Communication Networks and Distributed Systems (IJCNDS), 2008.

  5. J.K. Debenham and C. Sierra, “Merging intelligent agency and the Semantic Web” in Knowledge-Based Systems Vol 21, 184-191 (2008)

  6. Aciar, S., Zhang, D., Simoff, S. J., Debenham, J.K., Informed recommender: Basing recommendations on consumer product reviews. IEEE Intelligent Systems, May/June 2007, pp. 39-47.

  7. S. Aciar, D. Zhang, S. Simoff and J. Debenham, “Informed Recommender: Basing Recommendations on Consumer Product Reviews”, IEEE Intelligent Systems, Vol 22, No 3, May/June 2007, pp39-47

  8. J.K. Debenham, “An Agent-Based Framework for Emergent Process Management” International Journal of Intelligent Information Technologies, Vol 2, No 2, April-June 2006, pp 30-48.

  9. C.B. Jay. Typing first-class patterns. In D. Kesner, M-O. Stehr, and F. van Raamsdonk, editors, Higher-Order Rewriting, electronic proceedings, 2006

  10. J.K. Debenham, “Maintaining Knowledge with a Formal Model” Applied Intelligence, Vol 24, No 3, June 2006, pp 203-216.

  11. J.K. Debenham and I.W. Wilkinson, “Expoitation versus Exploration in Market Competition” Industry and Innovation, Vol 13, No 3, September 2006, pp 263-289.

  12. J.K. Debenham, “Multi-issue bargaining in an information-rich context” Knowledge-Based Systems, Volume 17, Issues 2-4 , May 2004, Pages 147-155, Elsevier B.V.

  13. C.B. Jay. The pattern calculus. ACM Transactions on Programming Languages and Systems (TOPLAS), 26(6):911–937, November 2004.

  14. Kennedy P. J. and Osborn, T. R., (2001), A Model of Gene Expression and Regulation in an Artificial Cellular Organism, Complex Systems 13(1) 2001. [CORE rank C, 11 citations (Google Scholar, 29/1/2009)]

  15. C.B. Jay. Costing parallel programs as a function of shapes. Science of Computer Programming, pp. 207–224, 2000.

  16. C.B. Jay. Partial evaluation of shaped programs: experience with FISh . p. 23 pp, 1999.

  17.  C.B. Jay. Programming in FISh . International Journal on Software Tools for Technology Transfer, 2, 1999.

  18.  C.B. Jay, G. Bell ‘e , and E. Moggi. Functorial ML . Journal of Functional Programming, 8(6):573–619, 1998.

  19.   C.B. Jay. ”finite objects in a locos”. Journal of Pure and Applied Algebra, 116:169–83, 1997.

  20.  C.B. Jay ,Covariant types. Theoretical Computer Science, 185:237–258, 1997.

  21.  G. Bell ’e , C. B. Jay, and E. Moggi. Functorial ML . In PLILP ’96, volume 1140 of LNCS, pp. 32–46. Springer Verlag, 1996. TR SOCS-96.08, and accepted for J. Functional Programming.

  22.  A semantics for shape. Science of Computer Programming, 25:251–283, 1995. Shape in computing. ACM Computing Surveys, 28(2):355–357, 1996.

  23. C.B. Jay and J. Staples. Preface to a special issue on Australasian research. Theoretical Computer Science, 169(1), 1996. Editors.

  24. C.B. Jay. Tail recursion through universal invariants. Theoretical Computer Science, 115:151–189, 1993.

  25.  B. Steffen, C.B. Jay, and M. Mendler. Compositional characterisation of observable program properties. Theoretical Informatics and Applications, 26:403–424, 1992. 

  26. C.B. Jay. Coherence in category theory and the C hurch- R osser property. Notre Dame J. of Formal Logic, 33(1):140–143, 1992.

  27. C.B. Jay. A note on natural numbers objects in monoidal categories. Studia Logica, 48(3):389–93, 1990.

  28. C.B. Jay. The structure of free closed categories. 66:271–285, 1990.

  29. C.B. Jay. Languages for triples, bicategories and braided monoidal categories. 31(1):67–81, 1990. 

  30.  C.B. Jay. Languages for monoidal categories. 59:61–85, 1989.

  31. C.B. Jay. Local adjunctions. 53:227–238, 1988.

Conference papers
  1. H. Homayounfard and P. J. Kennedy. HDAX: Historical symbolic modelling of delay time series in a communications network. In P. J. Kennedy, K.-L. Ong, and P. Christen, editors, Data Mining and Analytics 2009: Proceedings of the Eighth Australasian Data Mining Conference (AusDM’09), volume 101 of Conferences in Research and Practice in IT (CRPIT), pages 129–137. Australian Computer Society, 2009. [CORE B ranked conference, acceptance rate 0.45]

  2. A. Rahman, P. J. Kennedy, A. Simmonds, and J. Edwards. Fuzzy logic based modelling and analysis of network traffic. Computer and Information Technology, 2008. CIT 2008. 8th IEEE International Conference on, pages 652–657, July 2008. [acceptance rate: 27%]

  3. Al-Oqaily, A., Kennedy, P. J., D. Catchpoole and Simoff, S., (2008), Comparison of visualization methods of genome-wide SNP profiles in childhood acute lymphoblastic leukemia, In Roddick, J. F., Li, J., Christen, P. and Kennedy, P. J., (eds.), Data Mining and Analytics 2008: proceedings of the Seventh Australasian Data Mining Conference (AusDM’08), Conferences in Research and Practice in IT (CRPIT), Vol. 87., pp. 111-121, Australian Computer Society: Sydney. [CORE B ranked conference, acceptance rate 0.45]

  4. Joachim Gudmundsson and Barry Jay, editors. Thirteenth Computing: The Australasian Theory Symposium (CATS2007), volume 65 of CRPIT, Ballarat, Australia, 2007. ACS.

  5. C.B. Jay. Matrices, monads and the fast F ourier transform. In Proceedings of the Massey Functional Programming Workshop 1994, pp. 71–80, 1994.

  6. Al-Oqaily, A., and Kennedy, P. J., (2006), Using a kernel-based approach to visualize integrated Chronic Fatigue Syndrome datasets, In Christen, P., Kennedy, P. J., Li, J., Simoff, S. J., and Williams, G. J., (eds.), Data Mining and Analytics 2006: proceedings of the fifth Australasian Data Mining Conference (AusDM2006), Conferences in Research and Practice in IT (CRPIT), Vol. 61., pp. 53-59, Australian Computer Society: Sydney. [CORE B ranked conference, acceptance rate 0.43, 12 downloads in past 12 months (ACM Portal) 29/1/2009]

  7. Luu, J., and Kennedy, P. J., (2006), Investigating the size and value effect in determining performance of Australian listed companies: a neural network approach, In Christen, P., Kennedy, P. J., Li, J., Simoff, S. J., and Williams, G. J., (eds.), Data Mining and Analytics 2006: proceedings of the fifth Australasian Data Mining Conference (AusDM2006), Conferences in Research and Practice in IT (CRPIT), Vol. 61., pp 155-161, Australian Computer Society: Sydney. [CORE B ranked conference, acceptance rate 0.43, 12 downloads in past 12 months (ACM Portal) 29/1/2009]

  8. Beauregard, M. and Kennedy, P. J., (2006), Robust simulation of lamprey tracking, In Runarsson, T. P., Beyer, H., Burke, E., Morelo-Guervos, J. J., Whitley, L. D., and Yao, X. (eds.), Parallel Problem Solving from Nature – PPSN IX, LNCS 4193, pp. 641-650, Springer-Verlag: Berlin. [CORE A ranked conference, acceptance rate 0.42]

  9. Beauregard, M., Kennedy, P. J. and Debenham, J., (2006), Fast simulation of animal locomotion: lamprey swimming, in J. Debenham (eds.), IFIP International Federation for Information Processing, Volume 218, Professional Practice in Artificial Intelligence, pp. 247-256, Springer: Boston.

  10. Barry Jay and Delia Kesner.Pure pattern calculus.In Programming Languages and Systems, 15th European Symposium on Programming, ESOP 2006, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2006, Vienna, Austria, March 27–28, 2006, Proceedings (ed: P. Sestoft), pp. 100–114, 2006. 

  11. Clara Murdaca and Barry Jay. A relational account of objects. In Vladimir Estivill-Castro and Gillian Dobbie, editors, Proceedings of ACSC’06, volume 48(1) of Australian Computer Science Communications, pp. 297–302, 2006.

  12. Peter Sestoft, editor. Programming Languages and Systems, 15th European Symposium on Programming, ESOP 2006, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2006, Vienna, Austria, March 27-28, 2006.

  13. Joachim Gudmundsson and Barry Jay, editors Twelfth Computing: The Australasian Theory Symposium (CATS2006), volume 51 of CRPIT, Hobart, Australia, 2006. ACS.

  14. F. Y. Huang, C. B. Jay, and D. B. Skillicorn. Adaptiveness in well-typed java bytecode verification. In CASCON ’06: Proceedings of the 2006 conference of the Center for Advanced Studies on Collaborative research, p. 19, New York, NY, USA, 2006. Toronto, Ontario, Canada, ACM Press.

  15. C.B. Jay. Type variables simplify sub-typing. In D. Kesner, M-O. Stehr, and F. van Raamsdonk, editors, Typing first-class patterns,Higher-Order Rewriting, electronic proceedings,2006

  16.  Milton, J. Kennedy, P.J. and Mitchell, H., (2005), The effect of mutation on the accumulation of information in a genetic algorithm, In Zhang, S. and Jarvis, R. (eds.), AI 2005, LNAI 3809, pp360-368, Springer-Verlag: Berlin. [CORE B ranked conference, acceptance rate 0.14% for full papers]

  17. Freeman Huang, Barry Jay, and David Skillicorn.Programming with heterogeneous structures: Manipulating xml data using bf bondi . In Vladimir Estivill-Castro and Gillian Dobbie, editors, Twenty-Ninth Australasian Computer Science Conference (ACSC2006), volume 48(1) of Australian Computer Science Communications, pp. 287–296, 2006.

  18. Whitehead, D.J., Skusa, A. and Kennedy, P.J., (2004), Evaluating an evolutionary approach for reconstructing gene regulatory networks, Proc. Artificial Life IX, Boston, USA, Pollack, J., Bedau, M., Husbands, P., Ikegami, T., and Watson, R. A. (eds), pp 427-432, MIT Press.

  19. Kennedy, P. J., Simoff, S. J., Skillicorn, D. and Catchpoole, D. (2004) Extracting and Explaining Biological Knowledge in Microarray Data. Proc. Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining, Sydney. (eds) Dai, H., Srikant, R., and Zhang, C., LNAI 3056, pp 699-703, Springer-Verlag Berlin. [CORE A ranked conference, acceptance rate 0.34, 10 citations (Google Scholar, 29/1/2009)]

  20. Skillicorn, D. B., Simoff, S., Kennedy, P. and Catchpoole, D. (2004) Strategies for Winnowing Microarray Data. Proc. SIAM Bioinformatics Workshop 2004, in conjunction with Fourth International Conference on Data Mining, Walt Disney World Resort, Florida, USA, pp 42-51.

  21.  C.B. Jay, H.Y. Lu, and Q.T. Nguyen.The polymorphic imperative. In Mike Atkinson, editor, Computing:The Australasian Theory Symposium 2004, volume 91 of Electronic Notes in Theoretical Computer Science, pp. 192–206. Science Direct, 2004.

  22.  Kennedy, P.J. and Simoff, S.J., (2003) CONGO: Clustering on the Gene Ontology, in Proceedings Australasian Data Mining Workshop ADM03, in conjunction with Congress on Evolutionary Computation, Canberra, December 2003, pp181-198.

  23. Kennedy P. J. and Osborn, T. R., (2001), A Double—Stranded Encoding Scheme with Inversion Operator for Genetic Algorithms. Proceedings of the 2001 Genetic and Evolutionary Computation Conference, pp. 398–407. July 7-11, 2001, San Francisco, California. (ed.) L. Spector, E., D. Goodman et al, Morgan Kaufmann: San Francisco.

  24. Kennedy P. J. and Osborn, 2000, Evolution of Adaptive Behaviour in a Simulated Single–Celled Organism, in T. R. Meyer, Berthoz, Floreano, Roitblat and Wilson (Eds). SAB2000 Proceedings Supplement Book. Publication of the International Society for Adaptive Behavior, Honolulu, pp. 225–234. 6th International Conference on the Simulation of Adaptive Behaviour, Paris, France, 11–16 September 2000.

  25. Kennedy P. J. and Osborn, T. R., 2000, Operon Expression and Regulation with Spiders, Proceedings of the 2000 Genetic and Evolutionary Computation Conference Workshop Program, pp. 161–166. Las Vegas, Nevada, 8 July 2000. (ed.) Annie S. Wu, University of Central Florida.

  26. Kennedy P. J. and Osborn, T. R., 1999, A Coevolutionary Model of a Single–Celled Organism with Double–Stranded Genome and Time–Varying Phenotype, Proceedings of the 3rd Australia–Japan Joint Workshop on Intelligent and Evolutionary Systems, pp.145–152. Canberra, Australia, 23–35 November 1999.

  27. J.K. Debenham and Carles Sierra, “Unifying Trust, Honour and Reliability”, in proceedings 2nd International Conference on Digital Ecosystems and Technologies (IEEE DEST 2008), Phitsanulok, Thailand, 26-29 February 2008, pp 470-475.

  28. J.K. Debenham and Elaine Lawrence, “Automating Contract Negotiation” in proceedings International Conference on Information Technology ITNG 2008, Las Vegas, USA, April 6-9, 2008

  29. Carles Sierra and J.K. Debenham, “Information-based Deliberation”, in Proceedings Seventh International Conference on Autonomous Agents and Multi Agent Systems AAMAS-2008, Estoril, Portugal, 12-16 May 2008, pp 689-696.

  30. John Debenham and Ante Prodan, “Validation of two distributed autonomous self-organisation algorithms for 802.11 mesh networks by simulation”, in proceedings Agent-Directed Simulation Symposium (ADS'08), Ottawa, Canada, 2008.

  31. Ante Prodan, Vinod Mirchandani and John Debenham, “The multi-agent system for channel selection and topology control on 802.11 based mesh networks”, in proceedings 12'th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), Croatia, Zagreb, 2008.

  32. John Debenham and Ante Prodan, “A self-organising network based on light weight agents”, in proceedings 2’nd International Conference, NBiS 2008, Turin, Italy, September 1-2, 2008, pp 202-211.

  33. J.K. Debenham and Carles Sierra, “A Map of Trust between Trading Partners”, in proceedings 5th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2008, Turin, Italy, September 4-5, 2008, pp 202-211.

  34. Ante Prodan and John Debenham, “A light weight multi-agent system manages 802.11 Mesh networks”, in proceedings IFIP AI 2008, World Computer Congress 2008 (WCC'08), Milan, Italy, 7-10 September 2008, pp3-12.

  35. J.K. Debenham, “Information-Based Planning and Strategies”, in proceedings IFIP AI 2008, World Computer Congress 2008 (WCC'08), Milan, Italy, 7-10 September 2008, pp45-54.

  36. A. Bogdanovych, S. Simoff, M. Esteva and J. Debenham, “Teaching Autonomous Agents to Move in a Believable Manner within Virtual Institutions”, in proceedings IFIP AI 2008, World Computer Congress 2008 (WCC'08), Milan, Italy, 7-10 September 2008, pp55-66.

  37. J.K. Debenham and Carles Sierra, “An Agent Architecture for an Uncertain World”, in proceedings 2008 IEEE/WIC/ACM International Conference of Web Intelligence and Intelligent Agent Technology IAT2008, Sydney, Australia, 9-12 December 2008, pp273-276.

  38. J.K. Debenham and Carles Sierra, “Agent-Based Negotiation in Uncertain Environments”, in proceedings AI-2008, 28thInternational Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK,  9-11 December 2008, pp147-160.

  39. Carles Sierra and J.K. Debenham, “Information-Based Agency”, in proceedings Twentieth International Joint Conference on Artificial Intelligence IJCAI 2007, Hyderabad, India, 6-12 January 2007,  pp1513-1518.

  40. J.K. Debenham and Carles Sierra, “A Trust Model for Simple Negotiation”, in proceedings IEEE International Conference on Digital Ecosystems and Technologies DEST2007, Cairns Australia, 21-23 February 2007.

  41. Carles Sierra and J.K. Debenham,  “The LOGIC Negotiation Model” in proceedings Sixth International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS’2007), Honolulu, Hawai’i, ACM Press, New York.

  42. A. Prodan, V. Mirchandani,  J. Debenham and L. Green, “Performance Evaluation of a Self-Organising Scheme for Multi-Radio Wireless Mesh Networks”, in proceedings IEEE AusWireless, Sydney, 27 - 30 August 2007.

  43. V. Mirchandani,  A. Prodan and J. Debenham,  “A Method and Study of Topology Control based Self-Organization in Mesh Networks”, in proceedings IEEE BWIA Workshop, part of IEEE AccessNets 2007, Ottawa,  21 - 24 August 2007.

  44. J.K. Debenham and Carles Sierra,  “Building Business Relationships with Negotiation ” in proceedings 8th International Conference on Electronic Commerce and Web Technologies (EC-Web’2007) 3-7 September 2007,  Regensburg, Germany,  pp 119-128.

  45. J.K. Debenham,  “Building Maintainable Knowledge Bases with Knowledge Objects” in proceedings 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES’2007) Vietri sul Mare, Italy, 12-14 September 2007,  pp 279-286.

  46. J.K. Debenham and S. Simoff, “Informed Agents: Integrating Data Mining and Agency”, in proceedings 4th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2007), Athens, Greece, September 19 - 21, 2007, pp165-174.

  47. J.K. Debenham and Carles Sierra, “Merging Intelligent Agency and the Semantic Web”, in proceedings 27th International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 10-12 December 2007.

  48. J.K. Debenham, “Automated Trading - Making It Happen”, in proceedings International Conference on Artificial Intelligence and Applications, AIA-2006, V. Devedzic (Ed), Innsbruck, Austria, February 2006. pp. 1-6.

  49. J.K. Debenham and S. Simoff, “Intelligent Agents for Multi-Issue Auctions and Bidding”, in proceedings International Conference on Artificial Intelligence and Applications, AIA-2006, V. Devedzic (Ed), Innsbruck, Austria, February 2006. pp. 468-473.

  50. Carles Sierra and J.K. Debenham, “Trust and Honour in Information-Based Agency”, in proceedings Fifth International Conference on Autonomous Agents and Multi Agent Systems AAMAS 2006, Hakodate, Japan, 8-12 May 2006, pp1225-1232.

  51. J.K. Debenham and S. Simoff, “An e-Market Framework for Informed Trading”, in proceedings 15th International World Wide Web, WWW-2006, L. Carr, D. De Roure, A. Iyengar, C. Goble, M. Dahlin (Eds), Edinburgh, Scotland, 23-26 May 2006.

  52. J.K. Debenham and S. Simoff, “A Foundation for Informed Negotiation”, in proceedings 8th International Conference on Enterprise Information Systems ICEIS 23 - 27, May 2006, Cyprus.

  53. J.K. Debenham and S. Simoff, “A Bargaining Agent Models Its Opponent with Entropy-based Inference”, in proceedings 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems IPMU 2006, B. Bouchon-Meunier and R.R. Yager (Eds), Paris, France, 2-7 July 2006, 1630-1637.

  54. T. Yu,  J.K. Debenham, T. Jan and S. Simoff, “Combine Vector Quantization and Support Vector Machine for Imbalanced Datasets”, in proceedings 19th IFIP World Computer Congress “Artificial Intelligence in Theory and Practice”, M. Bramer (Ed), Santiago, Chile, 21-24 August 2006, 81-88.

  55. J.K. Debenham and S. Simoff, “Three Technologies for Automated Trading”, in proceedings 19th IFIP World Computer Congress “Artificial Intelligence in Theory and Practice”, M. Bramer (Ed), Santiago, Chile, 21-24 August 2006, 405-414.

  56. D. Zhang, S. Simoff, and J.K. Debenham, “Identification of Important News for Exchange Rate Modeling”, in proceedings 19th IFIP World Computer Congress “Artificial Intelligence in Theory and Practice”, M. Bramer (Ed), Santiago, Chile, 21-24 August 2006, 475-482.

  57. M. Beauregard, P.J. Kennedy and J.K. Debenham, “Fast Simulation of Animal Locomotion: Lampey Swimming”, in proceedings 19th IFIP World Computer Congress “Professional Practice in Artificial Intelligence”, J. Debenham (Ed), Santiago, Chile, 21-24 August 2006, 247-256.

  58. J.K. Debenham and S. Simoff, “Intelligent Agents that Span the Process Management Spectrum”, in proceedings 3rd IEEE International Conference on Intelligent Systems IS06, R. Yager, P. Countas and J. Kacprzyk (Eds), University of Westminster, London, UK, 4-6 September 2006, 386-389.

  59. J.K. Debenham and S. Simoff, “Making Informed Automated Trading a Reality”, in proceedings 7th International Conference on E-Commerce and Web Technologies EC-Web 2006, K. Bauknecht, B. Proll and Hannes Werthner (Eds), Krakow, Poland, 5-7 September 2006, 193-202.

  60. J.K. Debenham and S. Simoff, “Agents for an Information-Rich Environment”, in proceedings 10th International Workshop on Cooperative Information Agents CIA 2006, M. Klusch, M. Rovatsos and T.R. Payne (Eds), Edinburgh, UK, 11-13 September 2006, 51-65.

  61. J.K. Debenham and E. Lawrence, “Intelligent Agents that Make Informed Decisions”, in proceedings 16th International Symposium on Methodologies for Intelligent Systems, ISMIS 2006, 27-29 September 2006, Bari, Italy, 137-146.

  62. D. Zhang, S. Simoff and J.K. Debenham, “Message Retrieval and Classification from Chat Room Servers using Bayesian Networks”, in proceedings IFIP International Conference on Intelligent Information Processing IIP-2006, Z. Shi, K. Shimohara and D. Feng (Eds), Adelaide, Australia, 20-23 September 2006, 569-574.

  63. J.K. Debenham and E. Lawrence, “Negotiating Agents for Internet Commerce”, in proceedings International Conference on Intelligent Agents, Web Technologies and Internet Commerce, IAWTIC’2006, 29 November – 1 December 2006, Sydney.

  64. J.K. Debenham and S. Simoff, “Building Intelligent Negotiating Agents”, in proceedings 19th Australian Joint Conference on Artificial Intelligence, A. Sattar and Byeong-Ho Kang (Eds), Hobart, Australia, 4-8 December 2006, 413-422.

  65. J.K. Debenham and S. Simoff, “Negotiating Intelligently”, in proceedings 26th International Conference on Innovative Techniques and Applications of Artificial Intelligence, M. Bramer, F. Coenen and A. Tuson (Eds), Cambridge, UK, 11-13 December 2006, 159-172.

  66. J.K. Debenham, “An Agents for Emergent Process Management”, in proceedings 7th International Conference on Enterprise Information Systems ICEIS2005, Miami, USA, 24-28 May 2005, Volume 4, pp3-10.

  67. J.K. Debenham and S. Simoff, “Evaluating Exploitation versus Exploration by Simulation”, in proceedings International Conference on Applied Simulation and Modelling ASM 2005, Benalmadena, Spain, 15-17 June 2005, pp366-371.

  68. J.K. Debenham, “A Multiagent System Manages Collaboration in Emergent Processes”, in proceedings Fourth International Conference on Autonomous Agents and Multi Agent Systems AAMAS 2005, Utrecht, Netherlands, 25-29 July 2005, pp175-182.

  69. Carles Sierra and J.K. Debenham, “An Information-Based model for Trust”, in proceedings Fourth International Conference on Autonomous Agents and Multi Agent Systems AAMAS 2005, Utrecht, Netherlands, 25-29 July 2005, pp497-504.

  70. J.K. Debenham, “Information-Based Agents Model other Agents by Observing their Actions”, in proceedings Modelling Others from Observations Workshop MOO 2005 a workshop as part of Nineteenth International Joint Conference on Artificial Intelligence IJCAI 2005, Edinburgh, Scotland, 30 July 2005, pp9-16.

  71. Biuk-Aghai, R.P., Simoff, S.J. and Debenham, J.K. (2005). From ad-hoc to engineered collaboration in virtual workspaces. in N. C. Romano, Jr. (ed.) Proceedings of the 11th Americas Conference on Information Systems AMCIS 2005, Omaha, Nebraska, USA, August 11-14, 2005, pp. 130-139.

  72. J.K. Debenham, “An Information-Based Agent”, in proceedings Second International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2005, Copenhagen, Denmark, 22-24 August 2005, pp64-75.

  73. J.K. Debenham, “Foundations for Automated Trading - It’s the Information That Matters”, keynote, in proceedings 16th International Conference on Database and Expert Systems Applications DEXA 2005, Copenhagen, Denmark, 22-26 August 2005, pp534-543.

  74. J.K. Debenham and S. Simoff, “An Agent Establishes Trust with Equitable Information Revelation” in proceedings IEEE 2nd Symposium on Multi-Agent Security and Survivability MAS&S’05, Drexel University, Philadelphia, US, 30-31 August 2005, pp66-74.

  75. J.K. Debenham and S. Simoff, “Intelligent Environments for Next-Generation e-Markets”, in proceedings Ninth International Conference on Knowledge-Based Intelligent Information and Engineering Systems KES 2005, Melbourne, Australia, 14-16 Sept 2005, Vol I, pp751-757.

  76. J.K. Debenham and S. Simoff, “Managing Collaboration in a Multiagent System”, in proceedings Ninth International Conference on Knowledge-Based Intelligent Information and Engineering Systems KES 2005, Melbourne, Australia, 14-16 Sept 2005, Vol III, pp23-29.

  77. J.K. Debenham and C. Sierra, “Agents, Information and Trust”, in proceedings 18th Australian Conference on Artificial Intelligence, AI’2005:  Sydney, Australia, December 2005, pp. 643-652.

  78. G.R. Khoury, S.J. Simoff, S.J. and J.K. Debenham. Modelling Enterprise Architectures: An Approach Based on Linking Metaphors and Ontologies. In Meyer, T. and Orgun, M. A. (eds.) Proceedings of The Australasian Ontology Workshop AOW 2005, Sydney, Australia. CRPIT,  58., ACS., pp 41-46.

  79. D. Zhang, S. Simoff and J.K. Debenham, “Exchange Rate Modelling Using News Articles and Economic Data”, in proceedings 18th Australian Conference on Artificial Intelligence, AI’2005:  Sydney, Australia, December 2005, pp. 467-476.

  80. J.K. Debenham, “A Trading Agent for a Multi-Issue Clearing House”, in proceedings Twenty-fifth International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2005, pp. 177-190.

  81. J.K. Debenham, “Delegating Responsibility in an Autonomous Multiagent System”, in proceedings Intelligent Autonomous Systems 8, Amsterdam, Netherlands, March 2004, pp271-280.

  82. J.K. Debenham, “Managing Information in Automated Bilateral Negotiation”, in proceedings 2004 IFIP International Conference on Decision Support Systems (DSS2004), Prato, Italy, 1st-3rd July 2004, pp191-201.

  83. J.K. Debenham, “A Hybrid Inference Network for Bilateral Bargaining”, in proceedings International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems IPMU’2004, Perugia, Italy, 4-9 July 2004, pp1847-1854.

  84. J.K. Debenham, “Auctions and Bidding with Information”, in proceedings Agent Mediated Electronic Commerce Workshop AMEC within Third International Conference on Autonomous Agents and Multi Agent Systems AAMAS 2004, New York, US, 19 July 2004, pp15-28.

  85. J.K. Debenham, “Bargaining with Information”, in proceedings Third International Conference on Autonomous Agents and Multi Agent Systems AAMAS 2004, New York, US, 21-23 July 2004, pp664-671.

  86. J.K. Debenham, “Knowledge Base Structure”, in proceedings First IFIP Conference on Artificial Intelligence Applications and Innovations, World Computer Congress Toulouse, France, August, 22-27, 2004 , pp. 177-186.

  87. Ting Yu and J.K. Debenham, “Using and Associate Agent ot Improve Human-Computer Collaboration in an eMarket System”, in proceedings Symposium on Professional Practice in AI, within World Computer Congress, Toulouse, France, August 2004, pp 81-90.

  88. B. Henderson-Sellers, Q-N. N. Tran and J.K. Debenham, “Method Engineering the OPEN Porcess Framework and Cassiopeia”, in proceedings Symposium on Professional Practice in AI, within World Computer Congress, Toulouse, France, August 2004, pp 263-272.

  89. J.K. Debenham, “Interacting with Electronic Institutions”, in proceedings Fifteenth International Conference on Database and Expert Systems Applications DEXA’2004, Zaragoza, Spain, August, 2004 , pp. 181-190.

  90. J.K. Debenham, “A Negotiation Agent”, in proceedings 17th Australian Conference on Artificial Intelligence, AI’2004:  Cairns, Australia, December 2004, pp. 910-616.

  91. J.K. Debenham, “A Bargaining Agent aims to ‘Play Fair’”, in proceedings Twenty-fourth International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2004, pp. 173-18

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  93. B. Lederer, V. Plekhanova, and C.B. Jay. Teaching a capstone subject in computer science – a variety engineering approach. In Jenny Edwards, editor,Proceedings of the 23rd Australasian Computer Science Conference ACSC 2000 Canberra, Australia January 31 – February 3, 2000., volume 22 of Australian Computer Science Communications, pp. 136–142. Computer Science Association, 2000.

  94. C.B. Jay and G. Keller. Towards dynamic shaping. In G ’fcnter Hommel, editor,Communication-Based Systems: Proceedings of the 3rd International Workshop held at the TU Berlin, Germany, 31 March - 1 April 2000, pp. 103–110. Kluwer Academic Publishers, 2000. ISBN 0-7923-6173-3.