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, and datasets

"synopsis" may belong to another edition of this title.

Product Description:

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book for scientists, engineers and researchers that brings together in a single resource all the information a beginner will need to rapidly learn how to conduct data mining and the statistical analysis required to interpret the data once mined.

-One complete resource containing everything needed to successfuly conduct data mining analysis

-historical perspective and background providing insight as to why/how data mining grew out of statistics, the scientific method and modern machine learning/artificial intelligence

-Brief discreptions of the numerous new algorithms that make up the AI/Machine Learning part of the data mining arsenal, so the user new to data mining can rapidly absorb the ideas behind each method

-Extensive case studies, most in a tutorial format, allowing the reader to 'click through' the example, using a software program, thus learning to conduct data mining analyses in the most rapid manner of learning possible

Philosophical perspective and insight into what to expect in the future

Numerous examples, tutorials, powerpoints and datasets available via the companion website

Glossary of data mining terms provided in the appendix

Four page color insert

Product Description:

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive profession....

"About this title" may belong to another edition of this title.

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Book Description Elsevier Science Publishing Co Inc, United States, 2009. Hardback. Book Condition: 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. Bookseller Inventory # AA59780123747655

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Book Description Elsevier Science Publishing Co Inc, United States, 2009. Hardback. Book Condition: 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. Bookseller Inventory # AA59780123747655

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Book Description Elsevier Science Publishing Co Inc. Hardback. Book Condition: 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. Bookseller Inventory # B9780123747655

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Book Description Elsevier Science Publishing Co Inc, 2009. Book Condition: 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. . . . . . . Bookseller Inventory # V9780123747655

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Book Description Elsevier Science Publishing Co Inc. Book Condition: 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. Bookseller Inventory # V9780123747655

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