292 / 2017-02-01 02:04:42
Improved Apriori Algorithm for Association Rules using Regression
12736,12737,12738,12739,12740,12741
终稿
Aakanksha Tomar / ITM University
Ritu Chauhan / ITM University
Association rules is an very important part of data mining. It is used to find the interesting patterns from transaction databases. Apriori algorithm is one of the most classical algorithms of association rules, but it has the bottleneck in efficiency. In this article, we proposed a prefixed-itemset-based data structure for candidate itemset generation, with the help of the structure we managed to improve the efficiency of the classical Apriori algorithm.
重要日期
  • 会议日期

    03月22日

    2017

    03月24日

    2017

  • 02月15日 2017

    初稿截稿日期

  • 02月20日 2017

    初稿录用通知日期

  • 02月22日 2017

    终稿截稿日期

  • 03月24日 2017

    注册截止日期

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