Handbook of Statistical Analysis and Data Mining Applications
PDF
 eBook:Handbook of Statistical Analysis and Data Mining Applications
 Author:Robert Nisbet, John Elder IV, Gary Miner
 Edition:1 edition
 Categories:
 Data:June 5, 2009
 ISBN:0123747651
 ISBN13:9780123747655
 Language:English
 Pages:864 pages
 Format:PDF
 Written "By Practitioners for Practitioners"
 Nontechnical explanations build understanding without jargon and equations
 Tutorials in numerous fields of study provide stepbystep instruction on how to use supplied tools to build models using Statistica, SAS and SPSS software
 Practical advice from successful realworld implementations
 Includes extensive case studies, examples, MS PowerPoint slides and datasets

Content
Chapter 1: The Background for Data Mining Practice
Chapter 2: Theoretical Considerations for Data Mining
Chapter 3: The Data Mining Process
Chapter 4: Data Understanding and Preparation
Chapter 5: Feature Selection
Chapter 6: Accessory Tools for Doing Data Mining
Part 2: The Algorithms in Data Mining and Text Mining, the Organization of the Three most common Data Mining Tools, and Selected Specialized areas using data mining
Chapter 7: Basic Algorithms for Data Mining: A Brief Overview
Chapter 8: Advanced Algorithms for Data Mining
Chapter 9: Text Mining and Natural Language Processing
Chapter 10: The Three Most Common Data Mining Software Tools
Chapter 11: Classification
Chapter 12: Numerical Prediction
Chapter 13: Model Evaluation and Enhancement
Chapter 14: Medical Informatics
Chapter 15: Bioinformatics
Chapter 16: Customer Response Modeling
Chapter 17: Fraud Detection
Part 3: TutorialsStepbyStep Case Studies as a Starting Point to learn how to do Data Mining Analyses Guest Authors of the Tutorials
Part 4: Measuring true complexity, the "Right Model for the Right Use," Top Mistakes, and the Future of Analytics
Chapter 18: Model Complexity (and How Ensembles Help)
Chapter 19: The Right Model for the Right Purpose: When Less Is Good Enough
Chapter 20: Top 10 Data Mining Mistakes
Chapter 21: Prospects for the Future of Data Mining and Text Mining as Part of Our Everyday Lives
Chapter 22: Summary: Our Design
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