Interest Measures for Fuzzy Association Rules Based on Expectations of Independence
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-07
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Lift, leverage, and conviction are three of the best commonly known interest measures for crisp association rules.
All of them are based on a comparison of observed support and the support that is expected if the antecedent and consequent part of the rule were stochastically independent.
The aim of this paper is to provide a correct definition of lift, leverage, and conviction measures for fuzzy association rules and to study some of their interesting mathematical properties.
American Psychological Association (APA)
Burda, Michal. 2014. Interest Measures for Fuzzy Association Rules Based on Expectations of Independence. Advances in Fuzzy Systems،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1015329
Modern Language Association (MLA)
Burda, Michal. Interest Measures for Fuzzy Association Rules Based on Expectations of Independence. Advances in Fuzzy Systems No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1015329
American Medical Association (AMA)
Burda, Michal. Interest Measures for Fuzzy Association Rules Based on Expectations of Independence. Advances in Fuzzy Systems. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1015329
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1015329