Deductive data mining mathematical foundation of database mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2639, Issue , 2003, Pages 403-404

  Lin, Tsau Young ^a  

^a SAN JOSE STATE UNIVERSITY   (United States)

Author keywords

Deductive data mining; Granular computing

Indexed keywords

EID: 8344221964     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (4)

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 appear
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. 282–289
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.
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.