Accessibility navigation


Parallel induction of modular classification rules

Stahl, F., 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 (Proceedings of AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence)

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1007/978-1-84882-171-2_25

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.

Item Type:Book or Report Section
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:30148
Publisher:London

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation