Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
Google

Features

A key feature of this book, that differentiates it from many other very good textbooks on data mining, is the focus on the hands-on end-to-end process for data mining. We cover data, modelling, evaluation, and practical deployment. In addition to presenting descriptions of approaches and techniques for data mining using modern tools, we provide a very practical resource with actual examples using Rattle, an easy to use yet powerful open source software. The aim is for the reader to rapidly be able to deliver on data mining projects using software that can obtain for free from the Internet, quickly setting up their computer with a very sophisticated data mining environment.



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The PDF version is a formatted comprehensive draft book (with over 800 pages).
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