Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
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.
Product Description
Book by Cios Krzysztof J Pedrycz Witold Swiniarski Roman W
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Data Mining Methods for Knowledge Discovery
Editore:
Springer, 1998
ISBN 10: 0792382528
ISBN 13: 9780792382522
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Data Mining Methods for Knowledge Discovery
Editore:
Springer, 1998
ISBN 10: 0792382528
ISBN 13: 9780792382522
Antico o usato
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Da: Better World Books: West, Reno, NV, U.S.A.
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Condizione: Good. 1st. Used book that is in clean, average condition without any missing pages. Codice articolo GRP82677266
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Data Mining. Methods for Knowledge Discovery
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Hardcover. Condizione: Fair. Beschriftungen / Markierungen; Leichte Abnutzungen. 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 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. Codice articolo f58e639f-e1e0-4590-ac24-35953b2215bd
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Data Mining Methods for Knowledge Discovery (The Springer International Series in Engineering and Computer Science, 458)
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Data Mining: Methods for Knowledge Discovery
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Data Mining Methods for Knowledge Discovery (The Kluwer International Series in Engineering and Computer Science)
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Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780792382522. Codice articolo 9290225
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Data Mining Methods for Knowledge Discovery (The Springer International Series in Engineering and Computer Science, 458)
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Data Mining Methods for Knowledge Discovery (The Springer International Series in Engineering and Computer Science, 458)
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Data Mining Methods for Knowledge Discovery
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 524 pp. Englisch. Codice articolo 9780792382522
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