Parallel induction of modular classification rules

F. Stahl, Max Bramer, Mo Adda

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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Abstract

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.
Original languageEnglish
Title of host publicationResearch and Development in Intelligent Systems XXV
EditorsF. Coenen, M. Petridis
Place of PublicationBerlin
PublisherSpringer
Pages343-348
Number of pages6
VolumeXXV
Publication statusPublished - 2009

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