Table of Contents:
"Introduction to Data Mining and Knowledge Discovery, Third Edition"

• Introduction
  • Data mining: In brief
  • Data mining: What it can’t do
  • Data mining and data warehousing
  • Data mining and OLAP
  • Data mining, machine learning and statistics
  • Data mining and hardware/software trends
  • Data mining applications
  • Successful data mining
    
• Data Description for Data Mining
  • Summaries and visualization
  • Clustering
  • Link analysis
    
• Predictive Data Mining
  • A hierarchy of choices
  • Some terminology
  • Classification
  • Regression
  • Time series
    
• Data Mining Models and Algorithms
  • Neural networks
  • Decision trees
  • Multivariate Adaptive Regression Splines (MARS)
  • Rule induction
  • K-nearest neighbor and memory-based reasoning (MBR)
  • Logistic regression
  • Discriminant analysis
  • Generalized Additive Models (GAM)
  • Boosting
  • Genetic algorithms
    
• The Data Mining Process
  • Process Models
  • The Two Crows Process Model
    
• Selecting Data Mining Products
  • Categories
  • Basic capabilities
    
• Summary