Alex A. Freitas
Springer Berlin Heidelberg
2002e druk, 2002
9783540433316
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Specificaties
Gebonden, 265 blz.
|
Engels
Springer Berlin Heidelberg |
2002e druk, 2002
ISBN13: 9783540433316
Rubricering
Juridisch
:
Onderdeel van serie
Natural Computing Series
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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
Specificaties
ISBN13:9783540433316
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:265
Uitgever:Springer Berlin Heidelberg
Druk:2002
Hoofdrubriek:Databases, Computer en informatica
Serie:Natural Computing Series
Inhoudsopgave
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.
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