Introduction to Data Mining
by Pang-Ning Tan, Michael Steinbach, Vipin Kumar
2nd Edition
Publisher: Pearson
Book Details
| Print ISBN | 9780133128901 |
| eText ISBN | 9780134080284 |
| Publisher | Pearson |
| Publishing Year | 2019 |
| Edition | 2nd Edition |
| Language | English |
| Pages | 864 |
Introduction to Data Mining, 2nd Edition introduces fundamental concepts and algorithms in data mining. The textbook provides an overview of the background and general themes of the discipline, preparing readers to apply analytical methods to real problems.
Core subject areas center on classification, association analysis, and cluster analysis. The text presents foundational principles alongside advanced concepts and alternative techniques across these main analytical tasks.
Designed for students, instructors, researchers, and professionals, the volume outlines subject nuances clearly. Coverage also addresses specialized topics such as anomaly detection and avoiding false discoveries.
Table of Contents
Chapter 1: Introduction
Chapter 2: Data
Chapter 3: Classification: Basic Concepts and Techniques
Chapter 4: Classification: Alternative Techniques
Chapter 5: Association Analysis: Basic Concepts and Algorithms
Chapter 6: Association Analysis: Advanced Concepts
Chapter 7: Cluster Analysis: Basic Concepts and Algorithms
Chapter 8: Cluster Analysis: Additional Issues and Algorithms
Chapter 9: Anomaly Detection
Chapter 10: Avoiding False Discoveries
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