DocumentCode :
1944693
Title :
Structure of association rule classifiers: a review
Author :
Vanhoof, Koen ; Depaire, Benoît
Author_Institution :
Transp. Res. Inst. (IMOB), Univ. Hasselt, Diepenbeek, Belgium
fYear :
2010
fDate :
15-16 Nov. 2010
Firstpage :
9
Lastpage :
12
Abstract :
This paper provides a short review of various association rule classifiers (ARC) that have been developed over the past decade and the common structure behind most ARCs. Furthermore, different pruning and classification schemes used in various ARCs are reviewed and two ARCs are discussed which break with the standard structure behind ARC.
Keywords :
data mining; pattern classification; ARC; association rule classifiers; classification schemes; pruning schemes; Accuracy; Association rules; Classification algorithms; Error analysis; Itemsets; Transforms; association rules; classification; pruning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6791-4
Type :
conf
DOI :
10.1109/ISKE.2010.5680784
Filename :
5680784
Link To Document :
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