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Data Mining and Knowledge Discovery with Evolutionary Algorithms

Freitas, Alex A. (2002) Data Mining and Knowledge Discovery with Evolutionary Algorithms. Natural Computing Series . Spinger-Verlag, Berlin, 265 pp. ISBN 3-540-43331-7. (doi:10.1007/978-3-662-04923-5) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13669)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1007/978-3-662-04923-5

Abstract

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mining consists of extracting knowledge from data. In this book we particularly emphasize the importance of discovering comprehensible, interesting knowledge, which is potentially useful for the reader for intelligent decision making. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search.

Item Type: Book
DOI/Identification number: 10.1007/978-3-662-04923-5
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 17:59 UTC
Last Modified: 09 Mar 2023 11:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13669 (The current URI for this page, for reference purposes)

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