Data Mining Methods for Knowledge Discovery

Name: Data Mining Methods for Knowledge Discovery
Author: Krzysztof J. Cios

Paperback Engels 2012 9781461375579

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Samenvatting

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography.
Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.

Specificaties

ISBN13:9781461375579

Taal:Engels

Bindwijze:paperback

Aantal pagina's:495

Uitgever:Springer US

Druk:0

Hoofdrubriek:Inkoop en logistiek, Computer en informatica

Serie:The Springer International Series in Engineering and Computer Science

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Inhoudsopgave

Foreword. Preface. 1. Data Mining and Knowledge Discovery. 2. Rough Sets. 3. Fuzzy Sets. 4. Bayesian Methods. 5. Evolutionary Computing. 6. Machine Learning. 7. Neural Networks. 8. Clustering. 9. Preprocessing. Index.