A Report on Experiment Results of the Approach of Extracting Interrelated Attributes That Represent Characteristics of Multiple Decision Classes

Abstract

Rough-set-based interrelationship mining, proposed by the authors, aims at extracting characteristics based on comparing attribute values of different attributes at the same object. The extracted characteristics are represented as interrelated attributes. We have proposed an approach of extracting interrelated attributes that represent characteristics of multiple decision classes simultaneously. In this paper, we report various experiment results of this approach.