Introduction to Data Mining
Instructor’s Solution Manual
Pang-Ning Tan
Michael Steinbach
Vipin Kumar
Contents
1 Introduction 1
2Data 5
3 Exploring Data 19
4 Classification: Basic Concepts, Decision Trees, and Model
Evaluation 25
5 Classification: Alternative Techniques 45
6 Association Analysis: Basic Concepts and Algorithms 71
7 Association Analysis: Advanced Concepts 95
8 Cluster Analysis: Basic Concepts and Algorithms 125
9 Cluster Analysis: Additional Issues and Algorithms 147
10 Anomaly Detection 157
iii