Search of Interesting Rules in Visualized Association Rule Mining

DOI

Bibliographic Information

Other Title
  • アソシエーション分析における可視化を用いた興味深いルールの探索

Description

In the field of marketing, questionnaires are often carried out in order to design a marketing strategy by analyzing acquired data. Association rule mining is one of the most famous data mining techniques in analysis for questionnaire data. The purpose of this method is to extract important regularities in data called association rules based on evaluation indicators concerning them. They are found to be very useful in practical application. However, a number of association rules are often discovered, which makes it difficult to grasp relations between rules and find interesting rules for users. This paper proposes a visualization method of relations between association rules with hierarchical graph structure. It applies the proposed method to an actual questionnaire data and shows that it supports users to grasp hierarchical relations between rules and search interesting rules for them.

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Keywords

Details 詳細情報について

  • CRID
    1390001205671531904
  • NII Article ID
    130005035401
  • DOI
    10.14864/fss.26.0.157.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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