Issues in Negative Association Rule Mining with Business Analytics Perspectives

Document Type

Article

Publication Title

DHARANA - Bhavan's International Journal of Business

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.

Publication Date

13-2-2018

Publisher

Informatics Publishing Limited.

Volume

Vol.11

Issue

Iss.2

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