Interestingness of frequent itemsets using Bayesian networks as background knowledge

Szymon Jaroszewicz; Dan A. Simovici

doi:10.1145/1014052.1014074

Interestingness of frequent itemsets using Bayesian networks as background knowledge

Szymon Jaroszewicz
, Dan A. Simovici

Computer Science

West Pomeranian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery (ACM)
Pages	178-186
Number of pages	9
ISBN (Print)	1581138881, 9781581138887
DOIs	https://doi.org/10.1145/1014052.1014074
State	Published - 2004
Event	KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - Seattle, WA, United States Duration: Aug 22 2004 → Aug 25 2004

Publication series

Name	KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Conference

Conference	KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Country/Territory	United States
City	Seattle, WA
Period	8/22/04 → 8/25/04

ASJC Scopus Subject Areas

General Engineering

Keywords

Association rule
Background knowledge
Bayesian network
Frequent itemset
Interestingness

Access to Document

10.1145/1014052.1014074

Cite this

Jaroszewicz, S., & Simovici, D. A. (2004). Interestingness of frequent itemsets using Bayesian networks as background knowledge. In KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 178-186). (KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery (ACM). https://doi.org/10.1145/1014052.1014074

Interestingness of frequent itemsets using Bayesian networks as background knowledge. / Jaroszewicz, Szymon; Simovici, Dan A.
KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), 2004. p. 178-186 (KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jaroszewicz, S & Simovici, DA 2004, Interestingness of frequent itemsets using Bayesian networks as background knowledge. in KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery (ACM), pp. 178-186, KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, WA, United States, 8/22/04. https://doi.org/10.1145/1014052.1014074

Jaroszewicz S, Simovici DA. Interestingness of frequent itemsets using Bayesian networks as background knowledge. In KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM). 2004. p. 178-186. (KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/1014052.1014074

Jaroszewicz, Szymon ; Simovici, Dan A. / Interestingness of frequent itemsets using Bayesian networks as background knowledge. KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), 2004. pp. 178-186 (KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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title = "Interestingness of frequent itemsets using Bayesian networks as background knowledge",

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Interestingness of frequent itemsets using Bayesian networks as background knowledge

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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