11. Classification and Prediction Methods

  1. Stéphane Tufféry

Published Online: 20 MAR 2011

DOI: 10.1002/9780470979174.ch11

Data Mining and Statistics for Decision Making

Data Mining and Statistics for Decision Making

How to Cite

Tufféry, S. (2011) Classification and Prediction Methods, in Data Mining and Statistics for Decision Making, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470979174.ch11

Author Information

  1. University of Rennes, France

Publication History

  1. Published Online: 20 MAR 2011
  2. Published Print: 11 MAR 2011

ISBN Information

Print ISBN: 9780470688298

Online ISBN: 9780470979174

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Keywords:

  • Inductive and transductive methods;
  • Overview of classification and prediction methods;
  • Developments in logistic regression;
  • Classification and prediction by neural networks;
  • Classification by support vector machines;
  • Improving the performance of a predictive model

Summary

This chapter contains sections titled:

  • Introduction

  • Inductive and transductive methods

  • Overview of classification and prediction methods

  • Classification by decision tree

  • Prediction by decision tree

  • Classification by discriminant analysis

  • Prediction by linear regression

  • Classification by logistic regression

  • Developments in logistic regression

  • Bayesian methods

  • Classification and prediction by neural networks

  • Classification by support vector machines

  • Prediction by genetic algorithms

  • Improving the performance of a predictive model

  • Bootstrapping and ensemble methods

  • Using classification and prediction methods