Handbook of Statistical Analysis and Data Mining Applications

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9780123747655: Handbook of Statistical Analysis and Data Mining Applications
Críticas:

"...If you want to roll-up your sleeves and execute on predictive analytics, this is your definite, go-to resource. To put it lightly, if this book isn't on your shelf, you're not a data miner." - Eric Siegel, Ph.D., President, Prediction Impact, Inc. and Founding Chair, Predictive Analytics World "Great introduction to the real-world process of data mining. The overviews, practical advice, tutorials, and extra CD material make this book an invaluable resource for both new and experienced data miners." -- Karl Rexer, PhD (President & Founder of Rexer Analytics, Boston, Massachusetts)

Reseña del editor:

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. * Written "By Practitioners for Practitioners" * Non-technical explanations build understanding without jargon and equations * Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models * Practical advice from successful real-world implementations * Includes extensive case studies, examples, MS PowerPoint slides and datasets * CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book

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Robert Nisbet
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descripción Estado de conservación: New. Brand New Book. Nº de ref. de la librería 0123747651SRB

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Nisbet, Robert
Editorial: Academic Press (2009)
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Descripción Academic Press, 2009. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FD-9780123747655

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Robert Nisbet, Gary Miner, John Elder IV
Editorial: Academic Press 2009-08-19 (2009)
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descripción Academic Press 2009-08-19, 2009. Hardback. Estado de conservación: New. Nº de ref. de la librería NU-BER-00020589

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Robert Nisbet, John Elder, Gary Miner
Editorial: Elsevier Science Publishing Co Inc, United States (2009)
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descripción Elsevier Science Publishing Co Inc, United States, 2009. Hardback. Estado de conservación: New. 236 x 198 mm. Language: English . Brand New Book. The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. * Written By Practitioners for Practitioners * Non-technical explanations build understanding without jargon and equations * Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models * Practical advice from successful real-world implementations * Includes extensive case studies, examples, MS PowerPoint slides and datasets * CD-DVD with valuable fully-working 90-day software included: Complete Data Miner - QC-Miner - Text Miner bound with book. Nº de ref. de la librería AA59780123747655

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IV John Elder
Editorial: Elsevier Science Publishing Co Inc, United States (2009)
ISBN 10: 0123747651 ISBN 13: 9780123747655
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The Book Depository US
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Descripción Elsevier Science Publishing Co Inc, United States, 2009. Hardback. Estado de conservación: New. 236 x 198 mm. Language: English . Brand New Book. The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Nº de ref. de la librería AA59780123747655

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John Elder, IV
Editorial: Elsevier Science Publishing Co Inc 2009-07-10, San Diego (2009)
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Blackwell's
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Descripción Elsevier Science Publishing Co Inc 2009-07-10, San Diego, 2009. hardback. Estado de conservación: New. Nº de ref. de la librería 9780123747655

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Gary Miner; John Elder IV; Robert Nisbet
Editorial: Academic Press (2009)
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descripción Academic Press, 2009. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0123747651

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Nisbet, Robert; Elder, John, IV; Miner, Gary
Editorial: Elsevier Science Publishing Co Inc (2009)
ISBN 10: 0123747651 ISBN 13: 9780123747655
Nuevos Tapa dura Primera edición Cantidad: 3
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Descripción Elsevier Science Publishing Co Inc, 2009. Estado de conservación: New. 2009. 1st Edition. Hardcover. Guides business analysts, scientists, engineers and researchers through all stages of data analysis, model building and implementation. This book helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Num Pages: 864 pages, Approx. 680 illustrations. BIC Classification: PBT; UNF. Category: (P) Professional & Vocational. Dimension: 242 x 202 x 45. Weight in Grams: 1650. . . . . . . Nº de ref. de la librería V9780123747655

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Robert Nisbet, John Elder, Gary Miner
Editorial: Elsevier Science Publishing Co Inc
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descripción Elsevier Science Publishing Co Inc. Hardback. Estado de conservación: new. BRAND NEW, Handbook of Statistical Analysis and Data Mining Applications, Robert Nisbet, John Elder, Gary Miner, The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. * Written "By Practitioners for Practitioners" * Non-technical explanations build understanding without jargon and equations * Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models * Practical advice from successful real-world implementations * Includes extensive case studies, examples, MS PowerPoint slides and datasets * CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book. Nº de ref. de la librería B9780123747655

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Nisbet
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descripción Hardback. Estado de conservación: New. Not Signed; The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook he. book. Nº de ref. de la librería ria9780123747655_rkm

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