An Integrated Classification Rule Management System for Data Mining

Authors:
Daling Wang;Yubin Bao;Xiao Ji;Guoren Wang;Baoyan Song
Affiliations:
-;-;-;-;-
Venue:
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Year:
2001

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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.