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