Pruning Redundant Association Rules Using Maximum Entropy Principle

Author:

Jaroszewicz Szymon,Simovici Dan A.

Publisher

Springer Berlin Heidelberg

Reference23 articles.

1. Ratnaparkhi Adwait. A simple introduction to maximum entropy models for natural language processing. IRCS Report 97-08, University of Pennsylvania, 3401 Walnut Street, Suite 400A, Philadelphia, PA, May 1997. ftp://www.cis.upenn.edu/pub/ircs/tr/97-08.ps.Z .

2. R. Agrawal, T. Imielinski, and A. Swami. Mining association rules between sets of items in large databases. In Proc. ACM SIGMOD Conference on Management of Data, pages 207–216, Washington, D.C., 1993.

3. Y. Aumann and Y. Lindell. A statistical theory for quantitative association rules. In Knowledge Discovery and Data Mining, pages 261–270, 1999.

4. A. H. Andersen. Multidimensional contigency tables. Scand. J. Statist, 1:115–127, 1974.

5. R. J. Bayardo and R. Agrawal. Mining the most interesting rules. In Proc. of the 5th ACM SIGKDD Int’l Conf. on Knowledge Discovery and Data Mining, pages 145–154, August 1999.

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