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Data Mining Knowledge Discovery by Cios Krzysztof (62 results)
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Data Mining Methods for Knowledge Discovery
First Edition
Condition: Good. 1st. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Data Mining Methods for Knowledge Discovery
First Edition
Condition: Good. 1st. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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hardcover. Condition: Good. name in marker on side of pages. Hardcover book no dustjacket. Moderate wear to cover and pages.
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Hardcover. Condition: 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.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Data Mining. A Knowledge Discovery Approach
Language: English
Published by Springer, Estados Unidos, 2007
ISBN 10: 0387333339 ISBN 13: 9780387333335
Tapa Dura. Condition: Muy bien. Tapa dura. Muy ilustrado.9780387333335. Springer. Estados Unidos. 2007. 26x19 centímetros. 606 páginas. Tapa dura. Estado=Muy bien. Inglés.
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25 x 18. 606 Seiten. Hardcover. Ordnungsgemäß aus einer Universitäts-Bibliothek ausgesondert (Stempel, Rückenschild). Sehr guter Zustand. Gewicht über 1 kg. Sprache: Englisch Gewicht in Gramm: 1400.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Data Mining: A Knowledge Discovery Approach
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 74.62
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PF. Condition: New.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Data Mining : A Knowledge Discovery Approach
Language: English
Published by Springer US, Springer US, 2010
ISBN 10: 1441941207 ISBN 13: 9781441941206
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'If you torture the data long enough, Nature will confess,' said 1991 Nobel-winning economist Ronald Coase. The statement is still true. However, achieving this lofty goal is not easy. First, 'long enough' may, in practice, be 'too long' in many applications and thus unacceptable. Second, to get 'confession' from large data sets one needs to use state-of-the-art 'torturing' tools. Third, Nature is very stubborn - not yielding easily or unwilling to reveal its secrets at all. Fortunately, while being aware of the above facts, the reader (a data miner) will find several efficient data mining tools described in this excellent book. The book discusses various issues connecting the whole spectrum of approaches, methods, techniques and algorithms falling under the umbrella of data mining. It starts with data understanding and preprocessing, then goes through a set of methods for supervised and unsupervised learning, and concludes with model assessment, data security and privacy issues. It is this specific approach of using the knowledge discovery process that makes this book a rare one indeed, and thus an indispensable addition to many other books on data mining. To be more precise, this is a book on knowledge discovery from data. As for the data sets, the easy-to-make statement is that there is no part of modern human activity left untouched by both the need and the desire to collect data. The consequence of such a state of affairs is obvious.
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Data Mining Methods for Knowledge Discovery (The Springer International Series in Engineering and Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 134.30
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Data Mining Methods for Knowledge Discovery (The Springer International Series in Engineering and Computer Science, 458)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 134.62
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Data Mining Methods for Knowledge Discovery
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 134.61
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Condition: New.
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Data Mining : A Knowledge Discovery Approach
Language: English
Published by Springer US, Springer US, 2007
ISBN 10: 0387333339 ISBN 13: 9780387333335
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'If you torture the data long enough, Nature will confess,' said 1991 Nobel-winning economist Ronald Coase. The statement is still true. However, achieving this lofty goal is not easy. First, 'long enough' may, in practice, be 'too long' in many applications and thus unacceptable. Second, to get 'confession' from large data sets one needs to use state-of-the-art 'torturing' tools. Third, Nature is very stubborn - not yielding easily or unwilling to reveal its secrets at all. Fortunately, while being aware of the above facts, the reader (a data miner) will find several efficient data mining tools described in this excellent book. The book discusses various issues connecting the whole spectrum of approaches, methods, techniques and algorithms falling under the umbrella of data mining. It starts with data understanding and preprocessing, then goes through a set of methods for supervised and unsupervised learning, and concludes with model assessment, data security and privacy issues. It is this specific approach of using the knowledge discovery process that makes this book a rare one indeed, and thus an indispensable addition to many other books on data mining. To be more precise, this is a book on knowledge discovery from data. As for the data sets, the easy-to-make statement is that there is no part of modern human activity left untouched by both the need and the desire to collect data. The consequence of such a state of affairs is obvious.
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Medical Data Mining and Knowledge Discovery
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Data Mining Methods for Knowledge Discovery
Language: English
Published by Kluwer Academic Publishers, 1998
ISBN 10: 0792382528 ISBN 13: 9780792382522
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book elaborates on the fundamentals of each of the data mining methods. It discusses these methods in the setting of the overall process of knowledge discovery. It is intended for senior undergraduate and graduate students. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 495 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 241 x 164 x 34. Weight in Grams: 896. . 1998. Hardback. . . . .
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Condition: New.
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Data Mining Methods for Knowledge Discovery
Language: English
Published by Springer US, Springer US Aug 1998, 1998
ISBN 10: 0792382528 ISBN 13: 9780792382522
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 524 pp. Englisch.
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Medical Data Mining and Knowledge Discovery (Studies in Fuzziness and Soft Computing, 60)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 184.30
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Medical Data Mining and Knowledge Discovery
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 184.62
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Data Mining Methods for Knowledge Discovery
Language: English
Published by Springer, Springer US, 2012
ISBN 10: 1461375576 ISBN 13: 9781461375579
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
-
Data Mining Methods for Knowledge Discovery
Language: English
Published by Springer US, Springer US, 1998
ISBN 10: 0792382528 ISBN 13: 9780792382522
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
