A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit
Joint Authors
Xu, Chonghuan
Ju, Chunhua
Bao, Fuguang
Fu, Xiaokang
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Association rules mining is an important topic in the domain of data mining and knowledge discovering.
Some papers have presented several interestingness measure methods; the most typical are Support, Confidence, Lift, Improve, and so forth.
But their limitations are obvious, like no objective criterion, lack of statistical base, disability of defining negative relationship, and so forth.
This paper proposes three new methods, Bi-lift, Bi-improve, and Bi-confidence, for Lift, Improve, and Confidence, respectively.
Then, on the basis of utility function and the executing cost of rules, we propose interestingness function based on profit (IFBP) considering subjective preferences and characteristics of specific application object.
Finally, a novel measure framework is proposed to improve the traditional one through experimental analysis.
In conclusion, the new methods and measure framework are prior to the traditional ones in the aspects of objective criterion, comprehensive definition, and practical application.
American Psychological Association (APA)
Ju, Chunhua& Bao, Fuguang& Xu, Chonghuan& Fu, Xiaokang. 2015. A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1060800
Modern Language Association (MLA)
Ju, Chunhua…[et al.]. A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1060800
American Medical Association (AMA)
Ju, Chunhua& Bao, Fuguang& Xu, Chonghuan& Fu, Xiaokang. A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1060800
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060800