An Integrated Classification Rule Management System for Data Mining

Daling Wang, Yubin Bao, Xiao Ji, Guoren Wang, Baoyan Song

Abstract: Classification rule mining plays significant roles in practical applications. While how to mine classification rules from a database efficiently is an important issue, how to manage and apply the mined rules effectively is the same important. This paper presents a classification rule mining management system, named SM-Classifier, which integrates the functionality of generation, querying, maintenance and application of classification rules. The architecture of SM-Classifier, the classification algorithm, the rule store structure, and the rule query operations are described.