Table of Contents

Table of Contents for “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