Issues in Negative Association Rule Mining with Business Analytics Perspectives


Affiliations

  • Indian Institute of Management, Department of Management, Bangalore, 560 076, India
  • Indian Institute of Management Bangalore, Department of Decision Sciences and Information Systems Area, Bangalore, 560 076, India

Abstract

Association Rule mining literature is witnessing a shift of focus from generating positive rules to the discovery of negative rules. A review of previous literature on negative rule mining that incorporate objective and subjective interestingness measures has been done. Then, an extension, to Fuzzy Set Concept for generating and mining negative rules is made. This work also presents unaddressed issues in mining of both positive and negative rules. Business applications that gain useful insights from both positive and negative rules have been highlighted.

Keywords

Association Rule Mining, Item sets, Negative Association Rules, Fuzzy Set Concept, Interestingness, Business Applications.

Subject Discipline

Business Management

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References

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