JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 26 Issue 4
July 2011
Article Contents
LIU Shang-li and YANG Qing. Optimized Apriori algorithm based on interestingness measure pruning[J]. Journal of Light Industry, 2011, 26(4): 68-71. doi: 10.3969/j.issn.1004-1478.2011.04.015
Citation: LIU Shang-li and YANG Qing. Optimized Apriori algorithm based on interestingness measure pruning[J]. Journal of Light Industry, 2011, 26(4): 68-71. doi: 10.3969/j.issn.1004-1478.2011.04.015 shu

Optimized Apriori algorithm based on interestingness measure pruning

  • Received Date: 2011-05-13
    Available Online: 2011-07-15
  • To solve the problem that the Apriori algorithm of mining association rules in database mining is not quite effective in the process of mining potentially valuable low-support patterns,an optimized apriori mining algorithm was proposed.This algorithm exploits an efficient pruning strategy which uses the interestingness measure to filter the non-positive correlated long model and invalid itemsets.The range of support threshold is expanded.The experimental results indicated that the given algorithm was efficient and feasible.
  • 加载中
    1. [1]

      Jiawei Han,Micheline Kamber. Data Mining:Concepts and Techniques[M]. Second Edition. Beijing:China Machine Press,2006:147-172.

    2. [2]

      Agrawal R,Imielinski T,Swami A. Mining association rules between sets of items in large databases[C]//Proc of the ACM SIGMOD Conf on Mana of Data(SIGMOD'93), New York:ACM Press, 1993:207-216.

    3. [3]

      Omiecinski E. Ahemative interesting measures for mining associations[J]. IEEE Trans Knowledge and Data Eng, 2003,15:57.

    4. [4]

      李英杰.项约束频繁项集挖掘的新方法[J].计算机工程与应用,2009,45(3):161.

    5. [5]

      张玉芳,熊忠阳,彭燕,等.基于兴趣度含正负项目的关联规则挖掘方法[J].电子科技大学学报,2010,39(3):407.

    6. [6]

      王艳,刘双红,李玲玲.基于加权关联规则的选课推荐系统的构建[J].郑州轻工业学院学报:自然科学版, 2009,24(5):44.

    7. [7]

      Geng L Q,Hamilton H J. Interestingness measures for data mining:A survey[J]. ACM Comp Surveys, 2006, 38(3):9.

    8. [8]

      Brin S, Motwani R,Silverstein C. Beyond market baskets:generalizing association rules to correlations[C]//Proc ACM SIGMOD Int Conf on Mana of Data, Tucson:ACM Press, 1997:265-276.

    9. [9]

      Huang Wensue,Krneta Milorad,Lin Limin,et al. Associa tion bundle-A new pattern for association analysis[C]//Sixth IEEE Int Conf on Data Mining Workshops(ICDMW' 06) Washington:IEEE Computer Society,2006:601-605.

Article Metrics

Article views(882) PDF downloads(26) Cited by()

Ralated
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return