Agent based distributed data mining

Authors:
Sung Wook Baik;Jerzy Bala;Ju Sang Cho
Affiliations:
College of Electronics and Information Engineering, Sejong University, Seoul, Korea;Datamat Systems Research, Inc., McLean, VA;College of Electronics and Information Engineering, Sejong University, Seoul, Korea
Venue:
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Year:
2004

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Abstract

This paper presents an agent-based distributed data mining approach dealing with heterogeneous databases located at different sites. It introduces a modified decision tree algorithm on an agent based framework, which produces an accurate global model without transferring data between agents. The novel approach is evaluated over a test bed of texture feature data of 184 aerial photograph images. The experimental results show that the distributed version with more agents outperforms the version with fewer agents when the rule generation from the large database is not complicated.