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| HANDBOOK OF STATISTICAL ANALYSIS AND DATA MINING APPLICATIONS
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To order this title, and for more information, click here
By
Robert Nisbet, Pacific Capital Bank Corporation, Santa Barbara, CA, USA
John Elder, Elder Research, Inc. and the University of Virginia, Charlottesville, USA
Gary Miner, StatSoft, Inc., Tulsa, OK, USA
Description
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.
Audience
Business analysts, scientists, engineers, researchers, and students in statistics and data mining
Contents
Preface
Forwards (Dean Abbott and Tony Lachenbruch)
Introduction
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
Chapter 22: Summary
GLOSSARY of STATISICAL and DATA
MINING TERMS
INDEX
CD – With Additional Tutorials, data sets, Power Points, and Data Mining software (STATISTICA Data Miner &
Text Miner & QC-Miner – 90 day free trial)
| Bibliographic details |
Hardbound, 864 pages, publication date: MAY-2009
ISBN-13: 978-0-12-374765-5
Imprint: ACADEMIC PRESS
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| Price and Ordering |
Price:
USD 89.95
EUR 63.95
GBP 54.99
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Last update: 22 Sep 2009
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