吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (4): 1216-1221.doi: 10.13229/j.cnki.jdxbgxb201604030

• Orginal Article • Previous Articles     Next Articles

Frequent itemsets mining algorithm based on sort tree

WANG Hong-mei1, 2, DANG Yuan-yuan1, HU Ming1, LIU Da-you2, 3   

  1. 1.School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012,China;
    2.College of Computer Science and Technology, Jilin University, Changchun 130012,China;
    3.Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education,Jilin University,Changchun 130012, China
  • Received:2015-05-05 Online:2016-07-20 Published:2016-07-20

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Abstract: In this paper, the concept of sort tree is proposed, and the sort tree is used to store frequent itemsets, which proves the property of the last item pruning. Joining and pruning operations a re implemented as Apriori algorithm with O(1) time complexity. Ancestor-brother express is used to store the sort tree. If an ancestor does not exist in a transaction, all the brother nodes with the same ancestor will be skipped. So the time performance of counting support can be improved. Theoretical analysis and experimental results show that the proposed algorithm can improve the time performance greatly compared with Apriori algorithm.

Key words: artifical intelligence, frequent itemsets, last term pruning, sort tree, ancestor-brother express

CLC Number: 

  • TP311
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