An Analysis of Quantitative Measures Associated with Rules

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.

• Type: Conference
• Year: 1999
• Where: PAKDD
• Authors: Yiyu Yao, Ning Zhong
• Keywords: Basic Quantities, Data Mining, If-then Type Rules, PAKDD 1999, Quantitative Measure