DocumentCode :
2661910
Title :
Association rule mining algorithm study and improvement
Author :
Wang Lu-Feng
Author_Institution :
Chongqing Ind. Polytech. Coll., Chongqing, China
Volume :
2
fYear :
2010
fDate :
3-5 Oct. 2010
Abstract :
Through the in-depth study for the existing Apriori algorithm and its improved algorithms, this paper proposes an optimization program for the Apriori algorithm, and tests it. Experimental results show that this improved Apriori optimization association rule mining algorithm can reduce the time complexity of the original algorithm, especially for large databases, this improved algorithm has more evident effect for the association data mining optimization.
Keywords :
data mining; optimisation; very large databases; Apriori algorithm; association rule mining; large databases; optimization program; Algorithm design and analysis; Association rules; Databases; Optimization; Software; Software algorithms; Apriori algorithm; association rule; data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Technology and Engineering (ICSTE), 2010 2nd International Conference on
Conference_Location :
San Juan, PR
Print_ISBN :
978-1-4244-8667-0
Electronic_ISBN :
978-1-4244-8666-3
Type :
conf
DOI :
10.1109/ICSTE.2010.5608787
Filename :
5608787
Link To Document :
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