A general measure of rule interestingness

Szymon Jaroszewicz; Dan A. Simovici

doi:10.1007/3-540-44794-6_21

A general measure of rule interestingness

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 - 5th European Conference, PKDD 2001, Proceedings
Editors	Luc De Raedt, Arno Siebes
Publisher	Springer Verlag
Pages	253-265
Number of pages	13
ISBN (Print)	9783540425342
DOIs	https://doi.org/10.1007/3-540-44794-6_21
State	Published - 2001
Event	5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001 - Freiburg, Germany Duration: Sep 3 2001 → Sep 5 2001

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2168
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001
Country/Territory	Germany
City	Freiburg
Period	9/3/01 → 9/5/01

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Cziszar divergence
Distribution
Interestingness measure
Kullback-Leibler divergence
Rule

Access to Document

10.1007/3-540-44794-6_21

Cite this

Jaroszewicz, S., & Simovici, D. A. (2001). A general measure of rule interestingness. In L. De Raedt, & A. Siebes (Eds.), Principles of Data Mining and Knowledge Discovery - 5th European Conference, PKDD 2001, Proceedings (pp. 253-265). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2168). Springer Verlag. https://doi.org/10.1007/3-540-44794-6_21

A general measure of rule interestingness. / Jaroszewicz, Szymon; Simovici, Dan A.
Principles of Data Mining and Knowledge Discovery - 5th European Conference, PKDD 2001, Proceedings. ed. / Luc De Raedt; Arno Siebes. Springer Verlag, 2001. p. 253-265 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2168).

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

Jaroszewicz, S & Simovici, DA 2001, A general measure of rule interestingness. in L De Raedt & A Siebes (eds), Principles of Data Mining and Knowledge Discovery - 5th European Conference, PKDD 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2168, Springer Verlag, pp. 253-265, 5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001, Freiburg, Germany, 9/3/01. https://doi.org/10.1007/3-540-44794-6_21

Jaroszewicz S, Simovici DA. A general measure of rule interestingness. In De Raedt L, Siebes A, editors, Principles of Data Mining and Knowledge Discovery - 5th European Conference, PKDD 2001, Proceedings. Springer Verlag. 2001. p. 253-265. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-44794-6_21

Jaroszewicz, Szymon ; Simovici, Dan A. / A general measure of rule interestingness. Principles of Data Mining and Knowledge Discovery - 5th European Conference, PKDD 2001, Proceedings. editor / Luc De Raedt ; Arno Siebes. Springer Verlag, 2001. pp. 253-265 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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A general measure of rule interestingness

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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