Art

J-GLOBAL ID：200902196934228530   Reference number：00A0160295

Theory and Implementation of Data Mining System.

データマイニングの理論と実装

Author (2)： MORISHITA SHIN'ICHI (東大) ,  NAKAYA AKIHIRO (東大)
Material： コンピュータソフトウェア  (Computer Software)
Volume： 17  Issue： 1  Page： 59-72  Publication year： Jan. 17, 2000 
JST Material Number： Y0628A  ISSN： 0289-6540  Document type： Article
Article type： 文献レビュー  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *database ,...

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JST classification (2)： Database systems  (JD03030U) ,  Artificial intelligence  (JE08000Z)

Reference (32)：

• [1] Agrawal, R., Imielinski, T. and Swami, A.: Mining association rules between sets of items in large databases, Proceedings of the ACM SIGMOD Conference on Management of Data, pages 207-216, May, 1993.
• [2] Agrawal, R. and Srikant, R.: Fast algorithms for mining association rules, Proceedings of the 20th VLDB Conference, pages 487-499, 1994.
• [3] Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J.: Classification and Regression Trees, Wadsworth, 1984.
• [4] Brin, S., Motwani, R. and Silverstein, C.: Beyond market baskets: Generalizing association rules tocorrelations, Peckham [25], pages 265-276, SIGMOD Record, 26 (2), June, 1997.
• [5] Brin, S., Motwani, R., Ullman, J.D. and Tsur, S.: Dynamic itemset counting and implication rules for market basket data, Peckham [25], pages 255-264, SIGMOD Record, 26 (2), June, 1997.

Terms in the title (3)： データマイニング ,  理論 ,  実装