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Deductive Data Mining

Mathematical Foundation of Database Mining
  • Tsau Young Lin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2639)

Abstract

In ICDM02 the Foundation on Data Mining and Discovery Workshop [3], we have proposed that data mining is a procedure that transforms (extracts or discovers from) data into patterns/knowledge: Schematically
$$ DM:Patterns \Leftarrow Data, or KD:Knowledge \Leftarrow Data $$

Keywords

deductive data mining granular computing 

References

  1. 1.
    T. Y. Lin and Hugo Shi, “Mathematical Foundation of Association Rules — Mining Associations by Solving Integral Linear Inequalities,” in: Data Mining and Knowledge Discovery: Theory, Tools, and Technology, Dasarathy (ed), Proceeding of SPIE, Vol. 5098, Orlando, Fl, April 21–25, 2003, to appearGoogle Scholar
  2. 2.
    T. Y. Lin, “Attribute (Feature) Completion — The Theory of Attributes from Data Mining Prospect,” in: the Proceedings of International Conference on Data Mining, Maebashi, Japan, Dec 9–12, 2002, pp. 282–289Google Scholar
  3. 3.
    T. Y. Lin, “Mathematical Foundation of Association Rules — Mining Associations by Solving Integral Linear Inequalities.” In the Proceedings of the Workshop on the Foundation of Data Mining and Discovery, which is a part of International Conference on Data Mining, Maebashi, Japan, Dec 9–12, 2002, pp 81–88.Google Scholar
  4. 4.
    T. Y. Lin, “The Power and Limit of Neural Networks,” Proceedings of the 1996 Engineering Systems Design and Analysis Conference, Montpellier, France, July 1–4, 1996, Vol. 7, 49–53.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Tsau Young Lin
    • 1
  1. 1.Department of Computer ScienceSan Jose State UniversitySan Jose

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