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
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