Table of Contents:
  • Chapter 1 BACKGROUND
  • chapter 2 INTRODUCTION TO TREE CLASSIFICATION
  • chapter 3 RIGHT SIZED TREES AND HONEST ESTIMATES
  • chapter 4 SPLITTING RULES
  • chapter 5 STRENGTHENING AND INTERPRETING
  • chapter 6 MEDICAL DIAGNOSIS AND PROGNOSIS
  • chapter 7 MASS SPECTRA CLASSIFICATION
  • chapter 8 REGRESSION TREES
  • chapter 9 BAYES RULES AND PARTITIONS
  • chapter 10 OPTIMAL PRUNING
  • chapter 11 CONSTRUCTION OF TREES FROM A LEARNING SAMPLE
  • chapter 12 CONSISTENCY.