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Jaroszewicz, S., Simovici, D.A.: Pruning redundant association rules using maximum entropy principle. In: Proceedings of the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). (2002) 135--147

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This paper is cited in the following contexts:
Interestingness of Frequent Itemsets Using Bayesian.. - Jaroszewicz, Simovici (2004)   Self-citation (Jaroszewicz Simovici)   (Correct)

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S. Jaroszewicz and D. A. Simovici. Pruning redundant association rules using maximum entropy principle. In Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD'02, pages 135--147, Taipei, Taiwan, May 2002.


Interestingness of Frequent Itemsets Using Bayesian.. - Jaroszewicz, Simovici   Self-citation (Jaroszewicz Simovici)   (Correct)

No context found.

S. Jaroszewicz and D. A. Simovici. Pruning redundant association rules using maximum entropy principle. In Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD'02, pages 135--147, Taipei, Taiwan, May 2002.


Finding Trees From Unordered 0--1 Data - Hannes Heikinheimo Heikki   (Correct)

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Jaroszewicz, S., Simovici, D.A.: Pruning redundant association rules using maximum entropy principle. In: Proceedings of the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). (2002) 135--147


On Local Pruning of Association Rules Using Directed.. - Sanjay Chawla Joseph   (Correct)

No context found.

S. Jaroszewicz and D. A. Simovici. Pruning redundant association rules using maximum entropy principle. In Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD'02, pages 135-- 147, Taipei, Taiwan, May 2002.


On Local Pruning of Association Rules Using Directed Hypergraphs - Chawla (2003)   (Correct)

No context found.

S. Jaroszewicz and D. A. Simovici. Pruning redundant association rules using maximum entropy principle. In Advances in Knowledge Discovery and Data Mining, 6th Pacific-Asia Conference, PAKDD'02, pages 135-- 147, Taipei, Taiwan, May 2002.

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