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  • 标题:A Survey on Association Rule Mining Using Apriori Based Algorithm and Hash Based Methods
  • 本地全文:下载
  • 作者:Priyanka Asthana ; Anju Singh ; Diwakar Singh
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:7
  • 出版社:S.S. Mishra
  • 摘要:Association rule mining is the most important technique in the field of data mining. The main task of association rule mining is to mine association rules by using minimum support thresholds decided by the user, to find the frequent patterns. Above all, most important is research on increment association rules mining. The Apriori algorithm is a classical algorithm in mining association rules. This classical algorithm is inefficient due to so many scans of database. And if the database is large, it takes too much time to scan the database. This paper presents many improved Apriori algorithm to increase the efficiency of generating association rules.
  • 关键词:Data mining; Apriori algorithm; minimum support threshold; multiple scan
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