Alex A. Freitas

Data Mining and Knowledge Discovery with Evolutionary Algorithms (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a comprehensive review of both data mining and EAs and discusses significant advances in the integration of these two areas. It is self-contained, explaining both basic concepts and advanced topics.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 265
• Erscheinungstermin: 11. November 2013
• Englisch
• ISBN-13: 9783662049235
• Artikelnr.: 53381534

Autorenporträt

Alex A. Freitas, Pontificia Universidade Catolica do Parana, Curitiba, Brazil

Inhaltsangabe

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.

Rezensionen

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)