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Data Mining and Knowledge Discovery with Evolutionary Algorithms Alex A. Freitas

Data Mining and Knowledge Discovery with Evolutionary Algorithms By Alex A. Freitas

Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas


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Summary

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. 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.

Data Mining and Knowledge Discovery with Evolutionary Algorithms Summary

Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas

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 active research area. In general, data mining consists of extracting knowledge from data. 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. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics

Data Mining and Knowledge Discovery with Evolutionary Algorithms Reviews

From the reviews:

In the snappily-titled Data Mining and Knowledge Discovery with Evolutionary Algorithms, leading researcher Alex A Freitas introduces both data mining and evolutionary algorithms. ... The aim is to introduce and address the key challenges to a high level of detail. With an understanding gleaned from this book, and source code available freely on the web, the world of data mining is your oyster. (Application Development Advisor, January/February, 2003)

Table of Contents

Preface; 1. Introduction; 2. Data Mining Tasks and Concepts; 3. Data Mining Paradigms; 4. Data Prepration; 5. Basic Concepts of Evolutionary Algorithms; 6. Genetic Algorithms for Rule Discovery; 7. Genetic Programming for Rule Discovery and Decision-Tree Building; 8. Evolutionary Algorithms for Clustering; 9. Evolutionary Algorithms for Data Preparation; 10. Evolutionary Algorithms for Discovering Fuzzy Rules; 11. Scaling up Evolutionary Algorithms for Large Data Sets; 12. Conclusions and Research Directions; Index.

Additional information

NPB9783540433316
9783540433316
3540433317
Data Mining and Knowledge Discovery with Evolutionary Algorithms by Alex A. Freitas
New
Hardback
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
2002-08-21
265
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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