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Cubierta del libro
EBOOKS
Autor Nisbet, Robert A.

Título Handbook of statistical analysis and data mining applications [Recurso electrónico] / Robert Nisbet, John Elder, Gary Miner

Publicación Amsterdam ; Boston : Academic Press/Elsevier, cop. 2009
Descripción física 1 online resource (xxxiv, 824 p.) : il. (algunas col.)
Contiene: PART I: History of Phases of Data Analysis, Basic Theory, and the Data Mining Process -- Chapter 1. History - The Phases of Data Analysis throughout the Ages -- Chapter 2. Theory -- Chapter 3. The Data Mining Process -- Chapter 4. Data Understanding and Preparation -- Chapter 5. Feature Selection - Selecting the Best Variables -- Chapter 6: Accessory Tools and Advanced Features in Data -- PART II: - The Algorithms in Data Mining and Text Mining, and the Organization of the Three most common Data Mining Tools -- Chapter 7. Basic Algorithms -- Chapter 8: Advanced Algorithms -- Chapter 9. Text Mining -- Chapter 10. Organization of 3 Leading Data Mining Tools -- Chapter 11. Classification Trees = Decision Trees -- Chapter 12. Numerical Prediction (Neural Nets and GLM) -- Chapter 13. Model Evaluation and Enhancement -- Chapter 14. Medical Informatics -- Chapter 15. Bioinformatics -- Chapter 16. Customer Response Models -- Chapter 17. Fraud Detection -- PART III: Tutorials - Step-by-Step Case Studies as a Starting Point to learn how to do Data Mining Analyses -- Listing of Guest Authors of the Tutorials -- Tutorials within the book pages: -- How to use the DMRecipe -- Aviation Safety using DMRecipe -- Movie Box-Office Hit Prediction using SPSS CLEMENTINE -- Bank Financial data - using SAS-EM -- Credit Scoring -- CRM Retention using CLEMENTINE -- Automobile - Cars - Text Mining -- Quality Control using Data Mining -- Three integrated tutorials from different domains, but all using C & RT to predict and display possible structural relationships among data: -- Business Administration in a Medical Industry -- Clinical Psychology- Finding Predictors of Correct Diagnosis -- Education - Leadership Training: for Business and Education -- Additional tutorials are available either on the accompanying CD-DVD, or the Elsevier Web site for this book -- Listing of Tutorials on Accompanying CD -- PART 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 Complexity -- Chapter 19: The Right Model for the Right Use -- Chapter 20: The Top 10 Data Mining Mistakes -- Chapter 21: Prospect for the Future - Developing Areas in Data Mining.
Bibliografía Incluye referencias bibliográficas e índice
Nota Description based on print version record.
Materia Minería de datos
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Autor secundario Elder, John F. (John Fletcher)
Miner, Gary
TÍTULO DE CUBIERTA Handbook of statistical analysis & data mining applications
ISBN 9780080912035 (electronic bk.)
0080912036 (electronic bk.)
9780123747655
0123747651