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Title:
Data Mining and Statistics for Decision Making, 2nd Edition
Author:
Stéphane Tufféry
Publisher:
2011-04-18
Format:
Online PDF (716 pages, 6MB)
Language:
English
ISBN-10:
0470688297
ISBN-13:
9780470688298
Pdf ebooks free Data Mining and Statistics for Decision Making, 2nd Edition.Plot:
Data mining is the process of automatically searching large volumes of data for patterns and models use computational techniques from statistics, machine learning and information theory, it is the ideal tool for such an exploit that knowledge. This book examines the techniques of both classic and recent data mining, such as grouping, distinct analysis, logistic regression, generalized linear models, the correct regression rules, PLS regression, decision trees, neural networks, support vector machines, and Bayesian classification, Vapnik theory of innocence learning, pants and the matching law. They are discussed together with illustrative examples throughout the book to explain the theory of this method, as well as the strengths and limitations of them.
Table of Contents
Chapter 1. Oveview of data mining. Chapter 2. The development of a data mining study. Chapter 3. Data Exploration and preparation. Chapter 4. Using commercial data. Chapter 5. Statistical and data mining software. Chapter 6. An outline of data mining methods. Chapter 7. Factor analysis. Chapter 8. Neural networks. Chapter 9. Cluster analysis. Chapter 10. Association analysis. Chapter 11. Classification and prediction methods. Chapter 12. An application of data mining: scoring. Chapter 13. Factors for success in a data mining project. Chapter 14. Text mining. Chapter 15. Web mining.
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