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