CARIM : an efficient algorithm for mining class-association rules with interestingness measures
Joint Authors
Hong, Tzung Pei
Vo, Bay
Nguyen, Loan
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 6A(s) (31 Dec. 2015), pp.627-634, 8 p.
Publisher
Publication Date
2015-12-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Classification based on association rules can often achieve higher accuracy than some traditional rule-based methods such as C4.5 and ILA.
The right-hand-side part of an association rule is a value of the target (or class) attribute.
This study proposes a general algorithm for mining class-association rules based on a variety of interestingness measures.
The proposed algorithm uses a tree structure for maintaining the related information of itemsets in the nodes, thus speeding up the process of generation of rules.
The proposed algorithm can be easily extended to integrate some measures together for ranking of rules.
Experiments are also conducted to show the efficiency of the proposed approach under various settings.
American Psychological Association (APA)
Nguyen, Loan& Vo, Bay& Hong, Tzung Pei. 2015. CARIM : an efficient algorithm for mining class-association rules with interestingness measures. The International Arab Journal of Information Technology،Vol. 12, no. 6A(s), pp.627-634.
https://search.emarefa.net/detail/BIM-654892
Modern Language Association (MLA)
Nguyen, Loan…[et al.]. CARIM : an efficient algorithm for mining class-association rules with interestingness measures. The International Arab Journal of Information Technology Vol. 12, no. 6A (Dec. 2015), pp.627-634.
https://search.emarefa.net/detail/BIM-654892
American Medical Association (AMA)
Nguyen, Loan& Vo, Bay& Hong, Tzung Pei. CARIM : an efficient algorithm for mining class-association rules with interestingness measures. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 6A(s), pp.627-634.
https://search.emarefa.net/detail/BIM-654892
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 634
Record ID
BIM-654892