Data Mining with Distributed Agents in E-Commerce Applications

May 2001

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2001)

Volume

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2001)

All Papers

In this paper we describe the prototype of a yellow page service for customers in a distributed cyber-shopping mall. This application combines distributed data mining with agent technologies. The paper focuses on a framework to support distributed data mining. Data mining approaches have dealt with finding interesting patterns, however, there is little research on developing a framework for effective and efficient distributed data mining. Our approach to providing such a framework combines a concept hierarchy and an efficient, distributed encoding of that concept hierarchy with existing data mining methods. This marriage results in a new distributed data representation for data mining, called Combined Hierarchical Set (CHS). CHS provides a framework for knowledge discovery including discovery of generalized associations, aggregated associations, and combined associations.