DocumentCode
2308233
Title
Measures of Class Membership in Association Rule Based Classification
Author
Phan-Luong, Viet
Author_Institution
Lab. d´´Inf. Fondamentale de Marseille, CMI de Univ. Aix-Marseille, Marseille, France
fYear
2009
fDate
26-29 May 2009
Firstpage
685
Lastpage
690
Abstract
In this work, we focus on the measures of class membership defined for classifiers based on associative classification rules. We revisit the chi 2 test for defining an effective measure. For comparison, we adapt the weight of evidence (Wang and Wong TKDE 2003) for a system based on the notions of support and confidence. Some variants of those measures are also defined. The effect of the defined measures is verified through the experimentation on categorical UCI datasets.
Keywords
data mining; pattern classification; association rule based classification; categorical UCI datasets; data mining; Association rules; Data mining; Frequency; Itemsets; Machine learning; Size measurement; Statistical analysis; Testing; Weight measurement; Itemset; association rule; classification; information gain;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications Workshops, 2009. WAINA '09. International Conference on
Conference_Location
Bradford
Print_ISBN
978-1-4244-3999-7
Electronic_ISBN
978-0-7695-3639-2
Type
conf
DOI
10.1109/WAINA.2009.81
Filename
5136728
Link To Document