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The research of improved association rules mining Apriori algorithm

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2 Author(s)
Huiying Wang ; Sch. of Public Adm., Univ. of Int. Bus. & Econ., Beijing, China ; Xiangwei Liu

This paper points out the bottleneck of classical Apriori's algorithm, presents an improved association rule mining algorithm. The new algorithm is based on reducing the times of scanning candidate sets and using hash tree to store candidate itemsets. According to the running result of the algorithm, the processing time of mining is decreased and the efficiency of algorithm has improved.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on  (Volume:2 )

Date of Conference:

26-28 July 2011