Support approximations using Bonferroni-type inequalities

Szymon Jaroszewicz; Dan A. Simovici

doi:10.1007/3-540-45681-3_18

Support approximations using Bonferroni-type inequalities

Szymon Jaroszewicz
, Dan A. Simovici

Computer Science

University of Massachusetts Boston

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

Original language	English
Title of host publication	Principles of Data Mining and Knowledge Discovery - 6th European Conference, PKDD 2002, Proceedings
Editors	Tapio Elomaa, Heikki Mannila, Hannu Toivonen
Publisher	Springer Verlag
Pages	212-224
Number of pages	13
ISBN (Print)	3540440372, 9783540440376
DOIs	https://doi.org/10.1007/3-540-45681-3_18
State	Published - 2002
Event	6th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2002 - Helsinki, Finland Duration: Aug 19 2002 → Aug 23 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2431 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2002
Country/Territory	Finland
City	Helsinki
Period	8/19/02 → 8/23/02

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Bonferroni inequalities
Frequent itemsets
Query support

Access to Document

10.1007/3-540-45681-3_18

Cite this

Jaroszewicz, S., & Simovici, D. A. (2002). Support approximations using Bonferroni-type inequalities. In T. Elomaa, H. Mannila, & H. Toivonen (Eds.), Principles of Data Mining and Knowledge Discovery - 6th European Conference, PKDD 2002, Proceedings (pp. 212-224). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2431 LNAI). Springer Verlag. https://doi.org/10.1007/3-540-45681-3_18

Support approximations using Bonferroni-type inequalities. / Jaroszewicz, Szymon; Simovici, Dan A.
Principles of Data Mining and Knowledge Discovery - 6th European Conference, PKDD 2002, Proceedings. ed. / Tapio Elomaa; Heikki Mannila; Hannu Toivonen. Springer Verlag, 2002. p. 212-224 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2431 LNAI).

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

Jaroszewicz, S & Simovici, DA 2002, Support approximations using Bonferroni-type inequalities. in T Elomaa, H Mannila & H Toivonen (eds), Principles of Data Mining and Knowledge Discovery - 6th European Conference, PKDD 2002, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2431 LNAI, Springer Verlag, pp. 212-224, 6th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2002, Helsinki, Finland, 8/19/02. https://doi.org/10.1007/3-540-45681-3_18

Jaroszewicz S, Simovici DA. Support approximations using Bonferroni-type inequalities. In Elomaa T, Mannila H, Toivonen H, editors, Principles of Data Mining and Knowledge Discovery - 6th European Conference, PKDD 2002, Proceedings. Springer Verlag. 2002. p. 212-224. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45681-3_18

Jaroszewicz, Szymon ; Simovici, Dan A. / Support approximations using Bonferroni-type inequalities. Principles of Data Mining and Knowledge Discovery - 6th European Conference, PKDD 2002, Proceedings. editor / Tapio Elomaa ; Heikki Mannila ; Hannu Toivonen. Springer Verlag, 2002. pp. 212-224 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Support approximations using Bonferroni-type inequalities

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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