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 using Statistica, SAS and SPSS software
- 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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From the Back Cover:
Tutorials employ leading software tools including STATISTICA Data Miner, SPSS Clementine, and SAS Enterprise Miner -- and show practitioners how to solve real-world data mining challenges in a wide variety of fields, including sales, medical diagnosis, finance, aviation engineering, marketing, banking, pharmaceutical discovery, industrial control, weather forecasting, clinical psychology, ecology, astronomy, and social networks.
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 practical solutions. Using the methods of this book produces new KNOWLEDGE that facilitates DECISIONS which lead to ACTIONS that result in SUCCESS.
About the Author:Robert Nisbet, John Elder, and Gary Miner have been University professors (in Biology, Engineering, and Medicine, respectively) and are skilled at making complex topics understandable. But what makes this book so unique and useful is their combined century of experience in industry -- where making analytic techniques work on an astonishing array of challenges has saved their clients and sponsors tens of millions of dollars.
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1. Handbook of Statistical Analysis and Data Mining Applications
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Elsevier Science 2009-08-19, Amsterdam |London
(2009)
ISBN 10: 0123747651
ISBN 13: 9780123747655
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Descripción Elsevier Science 2009-08-19, Amsterdam |London, 2009. hardback. Estado de conservación: New. Nº de ref. de la librería 9780123747655
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2. Handbook of Statistical Analysis and Data Mining Applications
ISBN 10: 0123747651
ISBN 13: 9780123747655
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Descripción Estado de conservación: New. Publisher/Verlag: Academic Press | 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 implementationsIncludes extensive case studies, examples, MS PowerPoint slides and datasetsCD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book | PrefaceForwardsIntroductionPART I: History of Phases of Data Analysis, Basic Theory, and the Data Mining ProcessChapter 1. History - The Phases of Data Analysis throughout the AgesChapter 2. TheoryChapter 3. The Data Mining ProcessChapter 4. Data Understanding and PreparationChapter 5. Feature Selection - Selecting the Best VariablesChapter 6: Accessory Tools and Advanced Features in DataPART II: - The Algorithms in Data Mining and Text Mining, and the Organization of the Three most common Data Mining ToolsChapter 7. Basic AlgorithmsChapter 8: Advanced AlgorithmsChapter 9. Text MiningChapter 10. Organization of 3 Leading Data Mining ToolsChapter 11. Classification Trees = Decision TreesChapter 12. Numerical Prediction (Neural Nets and GLMChapter 13. Model Evaluation and EnhancementChapter 14. Medical InformaticsChapter 15. BioinformaticsChapter 16. Customer Response ModelsChapter 17. Fraud DetectionPART III: Tutorials - Step-by-Step Case Studies as a Starting Point to learn how to do Data Mining AnalysesTutorialsPART IV: Paradox of Complex Models; using the "right model for the right use , on-going development, and the Future.Chapter 18: Paradox of Ensembles and ComplexityChapter 19: The Right Model for the Right UseChapter 20: The Top 10 Data Mining MistakesChapter 21: Prospect for the Future - Developing Areas in Data MiningChapter 22: SummaryGLOSSARY of STATISICAL and DATA MINING TERMSINDEXCD - With Additional Tutorials, data sets, Power Points, and Data Mining software PrefaceForwardsIntroductionPART I: History of Phases of Data Analysis, Basic Theory, and the Data Mining ProcessChapter 1. History - The Phases of Data Analysis throughout the AgesChapter 2. TheoryChapter 3. The Data Mining ProcessChapter 4. Data Understanding and PreparationChapter 5. Feature Selection - Selecting the Best VariablesChapter 6: Accessory Tools and Advanced Features in DataPART II: - The Algorithms in Data Mining and Text Mining, and the Organization of the Three most common Data Mining ToolsChapter 7. Basic AlgorithmsChapter 8: Advanced AlgorithmsChapter 9. Text MiningChapter 10. Organization of 3 Leading Data Mining ToolsChapter 11. Classification Trees = Decision TreesChapter 12. Numerical Prediction (Neural Nets and GLMChapter 13. Model Evaluation and EnhancementChapter 14. Medical InformaticsChapter 15. Nº de ref. de la librería K9780123747655
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3. Handbook Of Statistical Analysis And Data Mining Applications
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4. Handbook of Statistical Analysis and Data Mining Applications
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Descripción Academic Press. Hardcover. Estado de conservación: New. 0123747651 CD INCLUDED-US STUDENT EDITION - Free Tracking number with every purchase. Satisfaction guaranteed. Orders ship within 1-2 business days. (Hawaii,Alaska, Puerto Rico and APO's, allow additional time for delivery.). Nº de ref. de la librería Z0123747651ZN
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5. Handbook of Statistical Analysis and Data Mining Applications (Hardback)
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Elsevier Science Publishing Co Inc, United States
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Descripción Elsevier Science Publishing Co Inc, United States, 2009. Hardback. Estado de conservación: New. 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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6. Handbook of Statistical Analysis and Data Mining Applications (Hardback)
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. 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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7. Handbook of Statistical Analysis and Data Mining Applications
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Elsevier Science Publishing Co Inc
(2009)
ISBN 10: 0123747651
ISBN 13: 9780123747655
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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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8. Handbook of Statistical Analysis and Data Mining Applications
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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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9. Handbook of Statistical Analysis and Data Mining Applications
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Academic Press
(2009)
ISBN 10: 0123747651
ISBN 13: 9780123747655
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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 BB-9780123747655
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10. Handbook of Statistical Analysis and Data Mining Applications
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Elsevier Science Publishing Co Inc
ISBN 10: 0123747651
ISBN 13: 9780123747655
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Descripción Elsevier Science Publishing Co Inc. 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. . . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780123747655
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