At the moment, this page only lists some of references produced in the host unit of DDDM-SIG. However, there are contributions from other groups which shall be collected later.
(1) Books
Domain Driven Data Mining
Cao, L., Yu, P., Zhang, C., Zhao, Y.
Springer., Hardcover, 2010
Data Mining for Business Applications
Cao, L.; Yu, P.S., Zhang, C.; Zhang, H. (Eds.)
Springer, 2008
Data Mining and Multi-agent Integration
Cao, L. (Ed.)
Springer, 2009
(2) DDDM Proceedings
- DDDDM10 Proceedings with ICDM2010 Workshop Proceedings by IEEE Computer Press
-
DDDDM09 Proceedings with ICDM2009 Workshop Proceedings by IEEE Computer Press
-
DDDDM08 Proceedings with ICDM2008 Workshop Proceedings by IEEE Computer Press
-
DDDM2007 Proceedings with SIGKDD2007 Workshop Proceedings by ACM Press.
(3) Special Issues
- Domain-Driven Data Mining, IEEE Transactions on Knowledge and Data Engineering, 2010.
- Domain-driven, Actionable Knowledge Discovery, IEEE Intelligent Systems, 2007.
(4) Tutorials
- Longbing Cao. Domain-Driven Data Mining: Empowering Actionable Knowledge Delivery, PAKDD2009.
(5) Other Readings
- Longbing Cao. Introduction to Domain Driven Data Mining, in Data Mining for Business Applications, Springer, 2008.
- Longbing Cao, Huaifeng Zhang, Yanchang Zhao, Dan Luo, Chengqi Zhang. Combined Mining: Discovering Informative Knowledge in Complex Data, IEEE Trans. SMC Part B.
- Cao, L. Domain Driven Data Mining: Challenges and Prospects, IEEE Trans. on Knowledge and Data Engineering, vol. 22, no. 6, pp. 755-769, 2010.
- Cao, L. Zhao, Y., Zhang, H., Luo, D. and Zhang, C. Flexible Frameworks for Actionable Knowledge Discovery, IEEE Trans. on Knowledge and Data Engineering, 22(9): 1299-1312, 2010.
- Cao, L., Dai, R. and Zhou,M.: Metasynthesis, M-Space and M-Interaction for Open Complex Giant Systems, IEEE Trans. on SMC-A, 39(5): 1007 - 1021, 2009.
- Zhao, Y., Zhang, H., Cao, L., Zhang, C. and Bohlscheid, H. Combined pattern mining: from learned rules to actionable knowledge, AI08.
- Cao, L. and Zhang, C. Knowledge Actionability: Satisfying Technical and Business Interestingness, International Journal of Business Intelligence and Data Mining, 2(4): 496-514, 2007.
- Cao, L. and Zhang, C. The Evolution of KDD: Towards Domain-Driven Data Mining, International Journal of Pattern Recognition and Artificial Intelligence, 21(4): 677-692, 2007.
- Cao, L. et al.: Domain-Driven, Actionable Knowledge Discovery, IEEE Intelligent Systems, 22(4): 78-89, 2007.
- Cao, L. and Zhang, C. Domain-driven data mining: A practical methodology, International Journal of Data Warehousing and Mining, 2(4):49-65, 2006.
