A Plan of Interrelationship Mining Using Rough Sets

Abstract

In this paper, we introduce a plan of interrelationship mining using rough sets. In general, decision rules as results of rough set-based data analysis describe characteristics among objects that are representable by combinations of attributes and those values. Interrelationship mining we propose enables us to extract characteristics among objects with respect to interrelationship between condition attributes by comparing attribute values of different condition attributes.