Chapter 17. Bayesian Decision Trees

  1. Edwin Diday2 and
  2. Monique Noirhomme-Fraiture3
  1. Jean-Paul Rasson,
  2. Pascale Lallemand and
  3. Séverine Adans

Published Online: 28 JAN 2008

DOI: 10.1002/9780470723562.ch17

Symbolic Data Analysis and the SODAS Software

Symbolic Data Analysis and the SODAS Software

How to Cite

Rasson, J.-P., Lallemand, P. and Adans, S. (2008) Bayesian Decision Trees, in Symbolic Data Analysis and the SODAS Software (eds E. Diday and M. Noirhomme-Fraiture), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470723562.ch17

Editor Information

  1. 2

    Université Paris IX-Dauphine, LISE-CEREMADE, Place du Marechal de Lattre de Tassigny, Paris Cedex 16, France F-75775

  2. 3

    Facultés Universitaires Notre-Dame de la Paix, Faculté d'Informatique, Rue Grandgagnage, 21, Namur, Belgium, B-5000

Author Information

  1. Facultés Universitaires Notre-Dame de la Paix, Départment de Mathématique, Rempart de la Vièrge, 8, Namur, Belgium, B-5000

Publication History

  1. Published Online: 28 JAN 2008
  2. Published Print: 18 JAN 2007

ISBN Information

Print ISBN: 9780470018835

Online ISBN: 9780470723562

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Keywords:

  • work in a monothetic fashion;
  • recursive partition procedure;
  • dichotomous hierarchy of classes;
  • bootstrap methods;
  • smoothing parameter;
  • discriminant decision procedure;
  • Bayesian decision tree;
  • recursive algorithm;
  • kernel estimator;
  • recursive algorithm

Summary

This chapter contains sections titled:

  • Introduction

  • The underlying population and variables

  • Creation of the decision tree

  • Decision rule and discriminant analysis

  • Example

  • References