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Data Mining: Know It All - Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut Güting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam S. Lightstone, Thomas P. Nadeau, Richard E. Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten
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Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut Güting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam S. Lightstone, Thomas P. Nadeau, Richard E. Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten:
Data Mining: Know It All - gebunden oder broschiert

ISBN: 0123746299

[SR: 5091355], Hardcover, [EAN: 9780123746290], Morgan Kaufmann, Morgan Kaufmann, Book, [PU: Morgan Kaufmann], Morgan Kaufmann, This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints.Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader’s technical expertise and ability to implement practical solutions. Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.<, 280291, Intelligence & Semantics, 3887, AI & Machine Learning, 3508, Computer Science, 5, Computers & Technology, 1000, Subjects, 283155, Books, 3654, Data Mining, 549646, Databases & Big Data, 5, Computers & Technology, 1000, Subjects, 283155, Books, 10806617011, Storage & Retrieval, 377894011, Network Administration, 3652, Networking & Cloud Computing, 5, Computers & Technology, 1000, Subjects, 283155, Books, 3608, Java, 3612, Beginner's Guides, 3616, Reference, 173561, Servlets, 3952, Programming Languages, 5, Computers & Technology, 1000, Subjects, 283155, Books, 491300, Artificial Intelligence, 468204, Computer Science, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books, 491306, Database Storage & Design, 468204, Computer Science, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books, 491314, Programming Languages, 468204, Computer Science, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books

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This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions. Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. Computers Computers eBook, Elsevier Science

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ISBN: 9780123746290

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This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. Computer Science Media > Printbook > Computer Science Data Management Printbook, Morgan Kaufmann

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Hardback, [PU: ELSEVIER SCIENCE & TECHNOLOGY], Brings various elements of data mining together. This book consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology., Data Mining

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Data Mining: Know It All - Chakrabarti, Soumen; Cox, Earl; Frank, Eibe; Güting, Ralf Hartmut; Han, Jiawei; Jiang, Xia; Kamber, Micheline; Lightstone, Sam S.; Nadeau, Thomas P.; Neapolitan, Richard E.; Pyle, Dorian; Refaat, Mamdouh; Schneider, Markus; Teorey, Toby J.;
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Data Mining: Know It All

This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics ? from data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology. The proposed book expertly combines the finest data mining material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of data mining. This book represents a quick and efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive

Detailangaben zum Buch - Data Mining: Know It All


EAN (ISBN-13): 9780123746290
ISBN (ISBN-10): 0123746299
Gebundene Ausgabe
Erscheinungsjahr: 2008
Herausgeber: Elsevier LTD, Oxford
480 Seiten
Gewicht: 1,145 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 01.03.2007 12:52:26
Buch zuletzt gefunden am 05.11.2017 12:37:25
ISBN/EAN: 0123746299

ISBN - alternative Schreibweisen:
0-12-374629-9, 978-0-12-374629-0


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