Short papers

Paper ID Paper Title Author
DM223 Visualizing Graphs using Minimum Spanning Dendrograms Daniel Svonava and Michail Vlachos
DM269 Bonsai: Growing Interesting Small Trees Stephan Seufert, Srikanta Bedathur, Julián Mestre, and Gerhard Weikum
DM288 Multi-Stream Join Answering for Mining Significant Cross-Stream Correlations Robert Gwadera
DM299 Patterns on the Connected Components of Terabyte-Scale Graphs U Kang, Mary McGlohon, Leman Akoglu, and Christos Faloutsos
DM305 Collaborative Learning between Visual Content and Hidden Semantic for Image Retrieval Jun Wu, Ming-Yu Lu, and Chun-Li Wang
DM309 SONNET: Efficient Approximate Nearest Neighbor using Multi-Core Mohammad Hasan, Hilmi Yildirim, and Ahbirup Chakraborty
DM321 Passive Sampling for Regression Hwanjo Yu and Sungchul Kim
DM328 Efficient Episode Mining with Minimal and Non-overlapping Occurrences Huisheng Zhu, Peng Wang, Xianmang He, Yujia Li, Wei Wang, and Baile Shi
DM347 Location and Scatter Matching for Dataset Shift in Text Mining Bo Chen, Wai Lam, Ivor W. Tsang, and Tak-Lam Wong
DM368 Fast Stochastic Search Variable Selection inside the DBMS Mario Navas
DM369 Efficient Constrained Co-clustering with Background Knowledge Xiaoxiao Shi, Wei Fan, and Philip Yu
DM385 Assessing Data Mining Results on Matrices with Randomization Markus Ojala
DM395 A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support Jimeng Sun, Daby Sow, Jianying Hu, and Shahram Ebadollahi
DM402 Accelerating Dynamic Time Warping Subsequnce Search with GPUs and FPGAs Doruk Sart, Abdullah Mueen, Walid Najjar, Vit Niennattrakul, and Eamonn Keogh
DM409 Training Data Extraction from Completely Different Feature Spaces via Spectral Transformation Xiaoxiao Shi, Qi Liu, Wei Fan, Philip Yu, and Ruixin Zhu
DM412 Max-Clique: A Top-down Graph based Approach to Frequent Pattern Mining Yan Xie and Philip Yu
DM419 Causal Discovery from Streaming Features Kui Yu, Xindong Wu, and Hao Wang
DM426 Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering Junqiang Liu and Ke Wang
DM428 Probabilistic Inference Protection on Uncertain Data Raymond Wong, Ada Fu, Ke Wang, Yabo Xu, Jian Pei, and Philip Yu
DM432 Factorization Machines Steffen Rendle
DM451 Efficient Probabilistic Latent Semantic Analysis with Sparsity Control Sen Liu and Chaolun Xia
DM462 A Robust, Accurate, and Fast Stochastic Gradient Training Method for Modeling Latent-Information in Data Xu Sun, Hisashi Kashima, Takuya Matsuzaki, and Naonori Ueda
DM466 Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms Stephan Günnemann, Ines Färber, Brigitte Boden, and Thomas Seidl
DM467 ABS: the Anti Bouncing Model for Usage Data Streams CHONGSHENG ZHANG, Florent Masseglia, and YVES LECHEVALLIER
DM475 Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation Xianchao Zhang, Yansheng Jiang, Wenxin Liang, and Xin Han
DM478 Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Chih-Chieh Hung, and Wen-Chih Peng
DM488 Recommending Social Events from Mobile Phone Location Data Daniele Quercia, Neal Lathia, Francesco Calabrese, Giusy Di Lorenzo, and Jon Crowcroft
DM511 Anomaly Detection Using an Ensemble of Feature Models Keith Noto, Carla Brodley, and Donna Slonim
DM513 Quantification via Probability Estimators Antonio Bella, Cèsar Ferri, José Hernández-Orallo, and María José Ramírez-Quintana
DM518 Active Improvement of Hierarchical Object Features under Budget Constraints Nicolas Cebron
DM532 Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model Qingyan Yang, Ju Fan, Jianyong Wang, and Lizhu Zhou
DM551 On the Vulnerability of Large Graphs Hanghang Tong, B. Aditya Prakash, Charalampos Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, and Duen Horng "Polo" Chau
DM571 One Class Matrix Completion with Low Density Factorizations Vikas Sindhwani, Serhat Bucak, Jianying Hu, and Aleksandra Mojsilovic
DM585 Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams Vit Niennattrakul, Chotirat Ann Ratanamahatana, and Eamonn Keogh
DM593 On Finding Frequent Patterns in Spatial Event Sequences Andrea Campagna and Rasmus Pagh
DM598 Topic Modeling Ensembles Zhiyong Shen, Ping Luo, Shengwen Yang, and Xukun Shen
DM599 Mining Public Transport Usage For Personalised Intelligent Transport Systems Neal Lathia, Jon Froehlich, and Licia Capra
DM600 Interval-valued Matrix Factorization with Applications Zhiyong Shen, Liang Du, Xukun Shen, and Yi-Dong Shen
DM606 Anonymizing Temporal Data Ke Wang, Yabo Xu, Ada Fu, and Raymond Wong
DM614 Minimizing the Variance of Cluster Mixture Models for Clustering Uncertain Objects Francesco Gullo, Giovanni Ponti, and Andrea Tagarelli
DM618 Enhancing Single-Objective Projective Clustering Ensembles Carlotta Domeniconi, Francesco Gullo, and Andrea Tagarelli
DM623 Monotone Relabeling in Ordinal Classification Ad Feelders
DM625 Category Mining by Heterogeneous Data Fusion Using PdLSI Model in a Retail Service Tsukasa Ishigaki, Takeshi Takenaka, and Yoichi Motomura
DM628 The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord George Giannakopoulos and Themis Palpanas
DM655 Accelerating Radius-Margin Model Selection for SVMs Using Geometric Bounds Ben Goodrich, David Albrecht, and Peter Tischer
DM658 Node Similarities from Spreading Activation Kilian Thiel and Michael Berthold
DM661 What Do People Want in Microblogs? Measuring Interestingness of Hashtags in Twitter Jianshu Weng, Ee-peng Lim, Qi He, and Cane Wing-Ki Leung
DM663 Micro-blogging Sentiment Detection by Collaborative Online Learning Guangxia Li, Steven C.H. Hoi, Kuiyu Chang, and Ramesh Jain
DM672 Document Similarity Self-Join with MapReduce Claudio Lucchese, Gianmarco De Francisci Morales, and Ranieri Baraglia
DM688 Discrimination Aware Decision Tree Learning Faisal Kamiran, Toon Calders, and Mykola Pechenizkiy
DM698 Resilient K-d Trees: K-Means in Space Revisited Fabian Gieseke, Gabriel Moruz, and Jan Vahrenhold
DM715 Testing the Significance of Patterns in Data with Cluster Structure Niko Vuokko and Petteri Kaski
DM736 K-AP: Generating Specified K Clusters by Efficient Affinity Propagation XIANGLIANG ZHANG, WEI WANG, Kjetil Norvag, and Michele Sebag
DM741 Mixed-Membership Stochastic Block-Models for Transactional Networks Mahdi Shafiei and Hugh Chipman
DM744 Generalized Probabilistic Matrix Factorizations for Collaborative Filtering Hanhuai Shan and Arindam Banerjee
DM748 Two of a Kind or The Ratings Game? Adaptive Pairwise Preferences and Latent Factor Models Suhrid Balakrishnan and Sumit Chopra
DM770 Block-GP: Scalable Gaussian Process Regression for Multimodal Data Kamalika Das and Ashok Srivastava
DM784 Learning Preferences using Millions of Features by Enforcing Sparsity Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, and Jaime Carbonell
DM785 Sparse Boolean Matrix Factorizations Pauli Miettinen
DM787 QMAS: Querying, Mining And Summarization of Multi-modal Databases Robson L. F. Cordeiro, Fan Guo, Donna S. Haverkamp, James H. Horne, Ellen K. Hughes, Gunhee Kim, Agma J. M. Traina, Caetano Traina Jr., and Christos
DM788 Approximating Frequentness Probability of Itemsets in Uncertain Data Toon Calders, Calin Garboni, and Bart Goethals
DM796 Frequent Instruction Sequential Pattern Mining in Hardware Sample Data Jia Zou, Jing Xiao, Rui Hou, and Yanqi Wang
DM799 Understanding and Enhancement of Internal Clustering Validation Measures Yanchi Liu, Zhongmou Li, Hui Xiong, and Xuedong Gao
DM804 Modeling Experts and Novices in Citizen Science data for Species Distribution Modeling Jun Yu, Weng-Keen Wong, and Rebecca Hutchinson
DM813 Supervised Link Prediction Using Multiple Sources Berkant Savas, Wei Tang, Zhengdong Lu, and Inderjit Dhillon
DM849 Financial Forecasting with Gompertz Multiple Kernel Learning Han Qin, Dejing Dou, and Yue Fang
DM858 Leveraging D-Separation for Relational Data Sets Matthew Rattigan and David Jensen
DM864 Active Learning with Human-Like Noisy Oracle Jun Du and Charles Ling
DM867 Transfer Learning via Cluster Correspondence Induction Mingsheng Long, Wei Cheng, and Xiaoming Jin
DM870 Compressed Non-Negative Sparse Coding Fei Wang and Ping Li
DM875 A Generalized Linear threshold Model for Multiple Cascades Nishith Pathak, Arindam Banerjee, and Jaideep Srivastava
DM885 Addressing Concept-Evolution in Concept-Drifting Data Streams Mohammad Masud, Qing Chen, Latifur Khan, Charu Aggarwal, Jing Gao, Jiawei Han, and Bhavani Thuraisingham
DM898 Advertising Campaigns Management: Should We Be Greedy? Sertan Girgin, Jeremie Mary, Philippe Preux, and Olivier Nicol
DM901 A Pseudo-CRF Approach to Sequence Labeling Problems Shing-Kit Chan and Wai Lam
DM918 Content-Based Methods for Predicting Web-Site Demographic Attributes Santosh Kabbur, Eui-Hong Han, and George Karypis
DM924 Classifiers and Clusters Ensembling for Mining Concept Drifting Data Streams Peng Zhang, Xingquan Zhu, Jianlong Tan, and Li Guo
DM939 Attribution of Conversion Events to Multi-Channel Media Brendan Kitts
DM953 Hierarchical Ensemble Clustering Li Zheng, Tao Li, and Chris Ding
DM971 An Approach for Automatic Sleep Stage Scoring and Apnea-Hypopnea Detection Tim Schlüter and Stefan Conrad
DM972 On normalizing fuzzy coincidence matrices to compare fuzzy and/or possibilistic partitions with the Rand index Romain QUERE, Hoel LE CAPITAINE, Carl FRELICOT, and Noel Fraisseix
DM976 MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, and Jinghai Rao
DM989 Homotopy Regularization for Boosting Zheng Wang, Yangqiu Song, and Changshui Zhang
DM991 Learning Collaborative Filtering and Its Application on People-to-People Recommendation in Social Networks Xiongcai Cai, Michael Bain, Alfred Krzywicki, Wayne Wobcke, Yang-Sok Kim, Paul Compton, and Ashesh Mahidadia