DocumentCode :
2935002
Title :
The Optimization of Apriori Algorithm Based on Directed Network
Author :
Wang, Yan-hua ; Feng, Xia
Author_Institution :
Sch. of Comput. Sci. & Technol., Civil Aviation Univ. of China, Tianjin, China
Volume :
3
fYear :
2009
fDate :
21-22 Nov. 2009
Firstpage :
504
Lastpage :
507
Abstract :
Association rule mining is an important topic in data mining field. On the basis of the association rule mining and Apriori algorithm, this paper proposes an improved algorithm based on the directed network. It reduces consumption and improve the efficiency of algorithms by reduce scanning datasets and improving the efficiency of the pruning step. Finally, this paper gives an experiment to analyze and compare the difference between the two algorithms and the result shows that the improved algorithm promotes the efficiency of computing.
Keywords :
data mining; optimisation; apriori algorithm; association rule mining; data mining; directed network; optimization; Algorithm design and analysis; Application software; Association rules; Computer science; Data mining; Databases; Information technology; Intelligent networks; Itemsets; Iterative algorithms; Apriori algorithm; Directed Network; Distance Matrix; Path; association rule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
Type :
conf
DOI :
10.1109/IITA.2009.56
Filename :
5370454
Link To Document :
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