Mining market basket data using share measures and characterized itemsets-Reference-Cited by-同舟云学术

Mining market basket data using share measures and characterized itemsets

Published:1998 Issue: Volume: Page:159-173
ISSN:0302-9743
Container-title:Research and Development in Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Hilderman Robert J.,Carter Colin L.,Hamilton Howard J.,Cercone Nick

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-64383-4_14

Reference14 articles.

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2. R. Agrawal, H. Mannila, R.Srikant, H.Toivonen, and A.I. Verkamo. Fast discovery of association rules. In U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, pages 307–328, Menlo Park, CA, 1996. AAAI Press/MIT Press.

3. R. Agrawal and J.C. Schafer. Parallel mining of association rules. IEEE Transactions on Knowledge and Data Engineering, 8(6:962–969, December 1996.

4. S. Brin, R. Motwani, and C. Silverstein. Beyond market baskets: Generalizing association rules to correlations. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD'97), pages 265–276, May 1997.

5. S. Brin, R. Motwani, J.D. Ullman, and S. Tsur. Dynamic itemset counting and implication rules for market basket data. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD'97), pages 255–264, May 1997.

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