Handbook of Statistical Analysis and Data Mining Applications

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9780123747655: Handbook of Statistical Analysis and Data Mining Applications

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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Recensione:

"...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)

L'autore:

Dr. Robert Nisbet was trained initially in Ecology and Ecosystems Analysis. He has over 30 years’ experience in complex systems analysis and modeling, most recently as a Researcher (University of California, Santa Barbara). In business, he pioneered the design and development of configurable data mining applications for retail sales forecasting, and Churn, Propensity-to-buy, and Customer Acquisition in Telecommunications Insurance, Banking, and Credit industries. Currently, he serves as an Instructor in the University of California, Irvine Predictive Analytics Certification Program, and at the University of California, Santa Barbara, teaching online courses in Effective Data preparation (UCI), and Introduction to Predictive Analytics (UCSB).

Dr. Gary Miner received a B.S. from Hamline University, St. Paul, MN, with biology, chemistry, and education majors; an M.S. in zoology and population genetics from the University of Wyoming; and a Ph.D. in biochemical genetics from the University of Kansas as the recipient of a NASA pre-doctoral fellowship. He pursued additional National Institutes of Health postdoctoral studies at the U of Minnesota and U of Iowa eventually becoming immersed in the study of affective disorders and Alzheimer's disease.

In 1985, he and his wife, Dr. Linda Winters-Miner, founded the Familial Alzheimer's Disease Research Foundation, which became a leading force in organizing both local and international scientific meetings, bringing together all the leaders in the field of genetics of Alzheimer's from several countries, resulting in the first major book on the genetics of Alzheimer’s disease. In the mid-1990s, Dr. Miner turned his data analysis interests to the business world, joining the team at StatSoft and deciding to specialize in data mining. He started developing what eventually became the Handbook of Statistical Analysis and Data Mining Applications (co-authored with Drs. Robert A. Nisbet and John Elder), which received the 2009 American Publishers Award for Professional and Scholarly Excellence (PROSE). Their follow-up collaboration, Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, also received a PROSE award in February of 2013. Overall, Dr. Miner’s career has focused on medicine and health issues, so serving as the ‘project director’ for this current book on ‘Predictive Analytics of Medicine - Healthcare Issues’ fit his knowledge and skills perfectly.

Gary also serves as VP & Scientific Director of Healthcare Predictive Analytics Corp; as Merit Reviewer for PCORI (Patient Centered Outcomes Research Institute) that awards grants for predictive analytics research into the comparative effectiveness and heterogeneous treatment effects of medical interventions including drugs among different genetic groups of patients; additionally he teaches on-line classes in ‘Introduction to Predictive Analytics’, ‘Text Analytics’, and ‘Risk Analytics’ for the University of California-Irvine, and other classes in medical predictive analytics for the University of California-San Diego; he spends most of his time in his primary role as Senior Analyst-Healthcare Applications Specialist for Dell | Information Management Group, Dell Software (through Dell’s acquisition of StatSoft in April 2014).

Dr. John Elder heads the United States’ leading data mining consulting team, with offices in Charlottesville, Virginia; Washington, D.C.; and Baltimore, Maryland (www.datamininglab.com). Founded in 1995, Elder Research, Inc. focuses on investment, commercial, and security applications of advanced analytics, including text mining, image recognition, process optimization, cross-selling, biometrics, drug efficacy, credit scoring, market sector timing, and fraud detection. John obtained a B.S. and an M.E.E. in electrical engineering from Rice University and a Ph.D. in systems engineering from the University of Virginia, where he’s an adjunct professor teaching Optimization or Data Mining. Prior to 16 years at ERI, he spent five years in aerospace defense consulting, four years heading research at an investment management firm, and two years in Rice's Computational & Applied Mathematics Department.

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Robert Nisbet, Gary Miner, John Elder IV
Editore: Academic Press 2009-08-19 (2009)
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descrizione libro Academic Press 2009-08-19, 2009. Hardback. Condizione libro: New. Codice libro della libreria NU-BER-00020589

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Robert Nisbet, John Elder, Gary Miner
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ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descrizione libro Elsevier Science Publishing Co Inc, United States, 2009. Hardback. Condizione libro: 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. Codice libro della libreria AA59780123747655

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IV John Elder
Editore: Elsevier Science Publishing Co Inc, United States (2009)
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descrizione libro Elsevier Science Publishing Co Inc, United States, 2009. Hardback. Condizione libro: 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. Codice libro della libreria AA59780123747655

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Descrizione libro Academic Press, 2009. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria FD-9780123747655

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ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descrizione libro Elsevier Science Publishing Co Inc 2009-07-10, San Diego, 2009. hardback. Condizione libro: New. Codice libro della libreria 9780123747655

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Nisbet, Robert; Elder, John, IV; Miner, Gary
Editore: Elsevier Science Publishing Co Inc (2009)
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descrizione libro Elsevier Science Publishing Co Inc, 2009. Condizione libro: 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. . . . . . . Codice libro della libreria V9780123747655

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Robert Nisbet, John Elder, Gary Miner
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Descrizione libro Elsevier Science Publishing Co Inc. Hardback. Condizione libro: 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. Codice libro della libreria B9780123747655

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Nisbet, Robert; Elder, John, IV; Miner, Gary
Editore: Elsevier Science Publishing Co Inc
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descrizione libro Elsevier Science Publishing Co Inc. Condizione libro: 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. . . . . . Books ship from the US and Ireland. Codice libro della libreria V9780123747655

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Robert Nisbet, John Elder IV, Gary Miner
Editore: Academic Press (2009)
ISBN 10: 0123747651 ISBN 13: 9780123747655
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Descrizione libro Academic Press, 2009. Hardcover. Condizione libro: New. 1. Codice libro della libreria DADAX0123747651

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Descrizione libro Academic Press 2009-08-19, 2009. Condizione libro: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Codice libro della libreria NU-LBR-00583762

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