Sample Publications on Foundations of Data Mining

Foundations of Data Mining

• Yao, Y.Y., A step towards the foundations of data mining, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, Orlando, Florida, USA, April 21-22, 2003, Dasarathy, B.V. (Ed.), The International Society for Optical Engineering, pp. 254-263, 2003.
• Yao, Y.Y., On conceptual modeling of data mining, in: Wang, J., Zhou, Z.H., and Zhou, A.Y. (Eds.), Machine Learning and Applications, Tsinghua University Press, Beijing, pp. 238-255, 2006.
• Yao, Y.Y., Zhong, N. and Zhao, Y., A three-layered conceptual framework of data mining, Proceedings of ICDM'04 Workshop of Foundation of Data Mining, 215-221, 2004.

Granular Computing as a Basis of Data Mining

• Yao, Y.Y. Granular computing for data mining, Proceedings of SPIE Conference on Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2006, paper #: 624105.
• Yao, Y.Y., Modeling data mining with granular computing, Proceedings of the 25th Annual International Computer Software and Applications Conference (COMPSAC 2001), Chicago, USA, October 8-12, 2001, IEEE Computer Society, Los Alamitos, California, pp. 638-643.
• Yao, Y.Y. and Zhong, N., Potential applications of granular computing in knowledge discovery and data mining, Proceedings of World Multiconference on Systemics, Cybernetics and Informatics, Volume 5, Computer Science and Engineering, Orlando, Florida, USA, July 31-August 4, 1999, Torres, M., Sanchez, B. and Aguilar, J. (Ed.), International Institute of Informatics and Systematics, Orlando, pp. 573-580.
• Yao, J.T. and Yao, Y.Y., Induction of Classification Rules by Granular Computing , Rough Sets and Current Trends in Computing, Proceedings of the Third International Conference (RSCTC 2002), Lecture Notes in Artificial Intelligence 2475, pp. 331-338, 2002.
• Yao, Y.Y., and Yao, J.T., Granular computing as a basis for consistent classification problems, in: PAKDD 2002 Workshop entitled ``Towards Foundation of Data Mining'', Communications of Institute of Information and Computing Machinery, Vol. 5, No.2, 2002, pp.101-106.

Foundations of Classification

• Yao, J.T., Yao, Y.Y., and Zhao, Y. Foundations of classification, in: Lin, T.Y., Ohsuga, S., Liau, C.J. and Hu, X. (Eds), Foundations and Novel Approaches in Data Mining, Springer, Berlin, pp. 75-97, 2005.

Foundations of Rule Interestingness Measures

• Yao, Y.Y. and Zhong, N., An analysis of quantitative measures associated with rules, Methodologies for Knowledge Discovery and Data Mining, Proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence, 1574,Beijing, China, April 26-28, 1999, N. Zhong and L. Zhou (Eds.), Springer-Verlag, Berlin, pp. 479-488.
• Yao, Y.Y., Chen, Y.H. and Yang, X.D. A Measurement-theoretic foundation of rule interestingness evaluation, in: Lin, T.Y., Ohsuga, S., Liau, C.J. and Hu, X. (Eds), Foundations and Novel Approaches in Data Mining, Springer, Berlin, pp. 41-59, 2005.
• Yao, Y.Y., Information-theoretic measures for knowledge discovery and data mining, in: Entropy Measures, Maximum Entropy and Emerging Applications, Karmeshu (Ed.), Springer, Berlin, pp. 115-136, 2003.
• Yao, Y.Y., Chen, Y.H. and Yang X.D., Measurement-Theoretic Foundation for Rules Interestingness ICDM 2003 Workshop on Foundations of Data Mining.

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