Book by Chakrabarti Soumen Cox Earl Frank Eibe Gting Ralf
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
All of the elements of data mining together in a single volume written by the best and brightest experts in the field!
Enterprise data volume is growing at an exponential rate, and the intelligent analysis of this data is now a top-rated priority for every organization. As data sets grow in size and complexity, there is a shift toward automatic data analysis using ever more complex and sophisticated tools and processes.
Until now, information about these mining methodologies has been scattered across many different books as there has been no one-stop reference on how to successfully implement them. Data Mining: Know It All is here, assembled from the works of leading researchers and practitioners. This best-of-the-best collection delivers a wide-ranging, detailed examination of data mining that no book by a single author can possibly match. From data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology, Data Mining: Know It All is the complete insider’s guide to the essentials of data mining and analysis.
All of the elements of data mining together in a single volume written by the best and brightest experts in the field!
Enterprise data volume is growing at an exponential rate, and the intelligent analysis of this data is now a top-rated priority for every organization. As data sets grow in size and complexity, there is a shift toward automatic data analysis using ever more complex and sophisticated tools and processes.
Until now, information about these mining methodologies has been scattered across many different books as there has been no one-stop reference on how to successfully implement them. Data Mining: Know It All is here, assembled from the works of leading researchers and practitioners. This best-of-the-best collection delivers a wide-ranging, detailed examination of data mining that no book by a single author can possibly match. From data integration and pre-processing, to fundamental algorithms, to optimization techniques and web mining methodology, Data Mining: Know It All is the complete insider’s guide to the essentials of data mining and analysis.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Destinos, gastos y plazos de envíoLibrería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
Hardcover. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 2.85. Nº de ref. del artículo: G0123746299I5N00
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Librería: Phatpocket Limited, Waltham Abbey, HERTS, Reino Unido
Condición: 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. Nº de ref. del artículo: Z1-K-034-01942
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Librería: Anybook.com, Lincoln, Reino Unido
Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. 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,1250grams, ISBN:9780123746290. Nº de ref. del artículo: 9350641
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Librería: Chiron Media, Wallingford, Reino Unido
Hardcover. Condición: New. Nº de ref. del artículo: 6666-ELS-9780123746290
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Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. pp. 480. Nº de ref. del artículo: 8344429
Cantidad disponible: 3 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. illustrated edition. 496 pages. 9.20x7.60x1.40 inches. In Stock. Nº de ref. del artículo: __0123746299
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 480 pp. Englisch. Nº de ref. del artículo: 9780123746290
Cantidad disponible: 2 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 480. Nº de ref. del artículo: 26584882
Cantidad disponible: 3 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. pp. 480. Nº de ref. del artículo: 18584888
Cantidad disponible: 3 disponibles
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9780123746290
Cantidad disponible: 2 disponibles