Parallel induction of modular classification rules

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Bramer, M. and Adda, M. (2009) Parallel induction of modular classification rules. In: Bramer, M., Petridis, M. and Coenen, F. (eds.) Research and Development in Intelligent Systems XXV. London, Berlin, pp. 343-348. ISBN 9781848821705 doi: 10.1007/978-1-84882-171-2_25 (Proceedings of AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence)

Abstract/Summary

The Distributed Rule Induction (DRI) project at the University of Portsmouth is concerned with distributed data mining algorithms for automatically generating rules of all kinds. In this paper we present a system architecture and its implementation for inducing modular classification rules in parallel in a local area network using a distributed blackboard system. We present initial results of a prototype implementation based on the Prism algorithm.