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
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;
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
DOI :
10.1109/WAINA.2009.81
