DocumentCode :
2160107
Title :
mBAR: A Materialized Bitmap Based Association Rule Algorithm
Author :
Kang, Woon-hak ; Kim, Dong-Hyun ; Lee, Sang-Won
Author_Institution :
Sungkyunkwan University
fYear :
2005
fDate :
05-08 April 2005
Firstpage :
1221
Lastpage :
1221
Abstract :
With the rapid progress in information technology, the data mining technique has been exploited in various applications. The association rule(hereafter, AR) mining, one of the most popular data mining techniques, is to find the frequent itemsets which occur commonly in transaction database. Of the various AR algorithms, the Apriori is most popular, and it has been continuously improved during the past decade. Even with recent version, however, it is very time consuming for the Apriori-based algorithms to count frequent itemset since, basically for each k-size item set, we need to compute its support on-the-fly.
Keywords :
Association rules; Data analysis; Data mining; Decision making; Information analysis; Information technology; Itemsets; Mission critical systems; Pattern analysis; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshops, 2005. 21st International Conference on
Print_ISBN :
0-7695-2657-8
Type :
conf
DOI :
10.1109/ICDE.2005.239
Filename :
1647838
Link To Document :
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