
Data Mining
Practical Machine Learning Tools and Techniques
by Ian H. Witten, Eibe Frank, Mark A. Hall
3rd Edition
Publisher: Morgan Kaufmann
Book Details
| Print ISBN | 9780123748560 |
| eText ISBN | 9780123748560 |
| Publisher | Morgan Kaufmann |
| Publishing Year | 2011 |
| Edition | 3rd Edition |
| Language | English |
| Pages | 664 |
Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition, is a textbook that combines foundational machine learning principles with practical guidance for real-world data mining projects. The volume establishes theoretical concepts while demonstrating how to apply analytical tools effectively.
Coverage addresses the core stages of data mining work, including preparing data inputs, interpreting model outputs, and evaluating analytical results. The text also explains the primary algorithmic methods that underpin machine learning systems.
The book serves upper-level undergraduate and graduate courses in data mining and machine learning. It also offers practical reference for industry professionals, including data analysts, software developers, and information technology managers.
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