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Data Mining
Practical Machine Learning Tools and Techniques
Author: Ian H. Witten, Eibe Frank | Publisher: Elsevier | 2005 | ISBN: 0120884070 | PDF | 558 pages | English | 5.4 MB


"If you have data that you want to analyze and understand, this book and the associated Weka toolkit are an excellent way to start."

-Jim Gray, Microsoft Research


- Explains how data mining algorithms work.
- Helps you select appropriate approaches to particular problems and to compare and evaluate the results of different techniques.
- Covers performance improvement techniques, including input preprocessing and combining output from different methods.
- Shows you how to use the Weka machine learning workbench.


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