Title :
An Improved Apriori Algorithm
Author :
Shi, Yongge ; Zhou, Yiqun
Author_Institution :
Dept. of Comput., Nanchang Univ., Nanchang, China
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;
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
DOI :
10.1109/GrC.2010.79
