Title :
An Improved Algorithm for Apriori
Author :
Changsheng, Zhang ; Zhongyue, Li ; Dongsong, Zheng
Author_Institution :
Comput. Inst., Wenzhou Univ., Wenzhou
Abstract :
In this paper, we studied the Apriori Algorithm and its performance, which is used to mine association rules. The algorithm for reducing the size of the candidate-itemsets is optimized. Meanwhile, the performance of algorithm is improved to reduce I/O spending by cutting down unnecessary transaction records.
Keywords :
data mining; apriori algorithm; association rule mining; candidate-itemset; data mining; Association rules; Clustering algorithms; Computer science; Computer science education; Data mining; Educational technology; Frequency; Itemsets; Transaction databases; Visual databases; Apriori algorithm; association rule; candidate-itemsets; data mining;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.227
