An Analysis of Quantitative Measures Associated with Rules

  • Authors:
  • Y. Y. Yao;Ning Zhong

  • Affiliations:
  • -;-

  • Venue:
  • PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
  • Year:
  • 1999

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Abstract

In this paper, we analyze quantitative measures associated with if-then type rules. Basic quantities are identified and many existing measures are examined using the basic quantities. The main objective is to provide a synthesis of existing results in a simple and unified framework. The quantitative measure is viewed as a multi-facet concept, representing the confidence, uncertainty, applicability, quality, accuracy, and interestingness of rules. Roughly, they may be classified as representing one-way and two-way supports.