DocumentCode
2145402
Title
An Improved Apriori Algorithm
Author
Shi, Yongge ; Zhou, Yiqun
Author_Institution
Dept. of Comput., Nanchang Univ., Nanchang, China
fYear
2010
fDate
14-16 Aug. 2010
Firstpage
759
Lastpage
762
Abstract
In order to improve efficiency of excavation in relational database with multi-dimensional association rules, this paper analyzed Apriori algorithm and BUC algorithm based on practice. Then an improved Apriori algorithm-DGP algorithm which based on the multidimensional association rule was presented, it has more efficient and it will be used in the relational database. At last it was applied for analyzing the reasons for users´ line which not reach the standard. It can improve the speed of Data mining effectively, enhance the ability of ADSL line quality´ s analyzing and solving.
Keywords
data mining; relational databases; BUC algorithm; DGP algorithm; apriori algorithm; data mining; excavation; multidimensional association rule; relational database; Algorithm design and analysis; Arrays; Association rules; Classification algorithms; Itemsets; Apriori algorithm; BUC algorithm; DGP algorithm; Data mining; Multi-dimensional association rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location
San Jose, CA
Print_ISBN
978-1-4244-7964-1
Type
conf
DOI
10.1109/GrC.2010.79
Filename
5576069
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