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The Research of Improved Apriori Algorithm for Mining Association Rules

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3 Author(s)
Sheng Chai ; Sichuan Univ., Chengdu ; Jia Yang ; Yang Cheng

The efficiency of mining association rules is an important field of Knowledge Discovery in Databases. The Apriori algorithm is a classical algorithm in mining association rules. This paper presents an improved Apriori algorithm to increase the efficiency of generating association rules. This algorithm adopts a new method to reduce the redundant generation of sub-itemsets during pruning the candidate itemsets, which can form directly the set of frequent itemsets and eliminate candidates having a subset that is not frequent in the meantime. This algorithm can raise the probability of obtaining information in scanning database and reduce the potential scale of itemsets.

Published in:

Service Systems and Service Management, 2007 International Conference on

Date of Conference:

9-11 June 2007