Data mining and statistics for decision making

Data mining and statistics for decision making

"Data Mining is a practical guide to understanding and implementing data mining techniques, featuring traditional methods such as cluster analysis, factor analysis, linear regression, PLS regression and generalised linear models"-- Provided by publisher

Bibliographic Details
Main Author: Tuffery, Stephane (Author)
Format: Book
Language:English
Published: Chichester, West Sussex ; Hoboken, New Jersey : Wiley , c2011
Series:Wiley series in computational statistics
Subjects:
Data mining
Statistical decision
Online Access:Cover image
Table of Contents:
  • 1. Overview of data mining
  • 2. The development of a data mining study
  • 3. Data exploration and preparation
  • 4. Using commercial data
  • 5. Statistical and data mining software
  • 6. An outline of data mining methods
  • 7. Factor analysis
  • 8. Neural networks
  • 9. Cluster analysis
  • 10. Association analysis
  • 11. Classification and prediction methods
  • 12. An application of data mining: scoring
  • 13. Factors for success in a data mining project
  • 14. Text mining

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