Da: HPB-Red, Dallas, TX, U.S.A.
EUR 57,63
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Aggiungi al carrelloPaperback. Condizione: 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!
EUR 152,88
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Da: BennettBooksLtd, San Diego, NV, U.S.A.
EUR 149,07
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Aggiungi al carrellopaperback. Condizione: New. In shrink wrap. Looks like an interesting title!
EUR 179,00
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 204,78
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 204,99
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EUR 112,30
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 216,19
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 217,56
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 216,01
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EUR 238,92
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 225,94
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 248,40
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Editore: Kluwer Academic Publishers, 2001
ISBN 10: 1402001142 ISBN 13: 9781402001147
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 255,62
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Aggiungi al carrelloCondizione: New. Illustrates the diversity of problems and application areas that can benefit from data mining, as well as issues and challenges that differentiate scientific data mining from its commercial counterpart. This book focuses on mining scientific data. It is suitable for students and researchers who are familiar with basic principles of data mining. Editor(s): Grossman, Robert L.; Kamath, Chandrika; Kegelmeyer, P.; Kumar, V. Series: Massive Computing. Num Pages: 605 pages, biography. BIC Classification: UN. Category: (G) General (US: Trade); (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 160 x 32. Weight in Grams: 1910. . 2001. Softcover reprint of the original 1st ed. 2001. Paperback. . . . .
EUR 275,43
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Aggiungi al carrelloCondizione: New. pp. 632.
EUR 277,78
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Aggiungi al carrelloCondizione: New. pp. 628.
Editore: Kluwer Academic Publishers, 2001
ISBN 10: 1402001142 ISBN 13: 9781402001147
Lingua: Inglese
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 281,14
Convertire valutaQuantità: 15 disponibili
Aggiungi al carrelloCondizione: New. Illustrates the diversity of problems and application areas that can benefit from data mining, as well as issues and challenges that differentiate scientific data mining from its commercial counterpart. This book focuses on mining scientific data. It is suitable for students and researchers who are familiar with basic principles of data mining. Editor(s): Grossman, Robert L.; Kamath, Chandrika; Kegelmeyer, P.; Kumar, V. Series: Massive Computing. Num Pages: 605 pages, biography. BIC Classification: UN. Category: (G) General (US: Trade); (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 160 x 32. Weight in Grams: 1910. . 2001. Softcover reprint of the original 1st ed. 2001. Paperback. . . . . Books ship from the US and Ireland.
Editore: Springer US, Springer New York, 2001
ISBN 10: 1402001142 ISBN 13: 9781402001147
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 223,11
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.
EUR 225,03
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 298,92
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 289,48
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Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.
EUR 325,94
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Da: moluna, Greven, Germania
EUR 180,07
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientist.
Da: moluna, Greven, Germania
EUR 180,07
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientist.
Editore: Springer US, Springer US Okt 2001, 2001
ISBN 10: 1402001142 ISBN 13: 9781402001147
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 213,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering. 628 pp. Englisch.
Da: preigu, Osnabrück, Germania
EUR 186,55
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Aggiungi al carrelloBuch. Condizione: Neu. Data Mining for Scientific and Engineering Applications | R. L. Grossman (u. a.) | Buch | xx | Englisch | 2001 | Springer US | EAN 9781402000331 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Editore: Springer US, Springer New York Okt 2001, 2001
ISBN 10: 1402001142 ISBN 13: 9781402001147
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 213,99
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications.Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 628 pp. Englisch.
Editore: Springer US, Springer US Okt 2001, 2001
ISBN 10: 1402000332 ISBN 13: 9781402000331
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 213,99
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications.Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 632 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 292,54
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 632 Illus.
Da: Majestic Books, Hounslow, Regno Unito
EUR 294,93
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 628 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.