The Association Rules Updating Algorithm Based on Reverse Search

Article Preview

Abstract:

This paper analyzed the existing association rules update algorithm IUA, found out that when the decision makers gave priority attention to the situation of maximum frequent itemsets, this algorithm cannot lower the cost of the database traversal to quickly access to the largest number of frequent itemsets. For the lack of the algorithm, an algorithm which is based on reverse search approach to update association rules is presented. The updating algorithm based on reverse search first generated all frequent itemsets of new itemsets. Then, it spliced the new largest frequent itemsets and original largest frequent itemsets for trimming, get the updated maximal frequent itemsets. This algorithm not only reduces the traversal times in the process of association rules updating, but also realized the priority access to the largest operation of frequent itemsets.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Pages:

1126-1131

Citation:

Online since:

February 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Feng Yu-cai, Feng Jian-lin. Incremental Updating Algorithms for Mining Association Rules[J]. HHJOURNAL OF SOFTWAREHH, 1998, 9(4): 301-306.

Google Scholar

[2] Sun Bao-you; Jiang He. Incremental Update Algorithm for Negative Association Rules[J]. HHComputer EngineeringHH. 2009, 35(13): 69-71.

Google Scholar

[3] Yang Ming, Sun Zhi-Hui, Song Yu-qing, Chen Geng. Fast Incremental Updating of Frequent Itemsets[N]. HHJournal of Applied SciencesHH, 2003, 21(4): 367-372.

Google Scholar

[4] Yang Jun-rui. Inverse Heuristic Mining Maximum Frequent Itemsets[J]. HHComputer EngineeringHH, 2004, 30(14): 116-118.

Google Scholar

[5] HHJia, YuboHH, HHDuan, YuntaoHH, HHWang, YongliHH. An incremental updating algorithm for online mining association rules. 2009 International Conference on Web Information Systems and Mining, WISM (2009).

DOI: 10.1109/wism.2009.37

Google Scholar

[6] HHJin, KanHH . A new algorithm for discovering association rules. 2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM (2010).

DOI: 10.1109/iclsim.2010.5461239

Google Scholar