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Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations

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Title: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
by Ian H. Witten, Eibe Frank
ISBN: 1-55860-552-5
Publisher: Morgan Kaufmann
Pub. Date: 11 October, 1999
Format: Paperback
Volumes: 1
List Price(USD): $49.95
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Average Customer Rating: 4.08 (13 reviews)

Customer Reviews

Rating: 5
Summary: You HAVE to read this book!
Comment: This book is THE best book I have read about data mining. And I have read most of them (see ISBNs: 0070057796, 0471253847, 0262560976, 0201403803, 0471179809, 013743980, 0137564120, 1558605290, 1558604030). It is fresh, clear, well balanced. If your native language is not English, then you should definetly read THIS book first.

The feature that is the most important for me is "just enough statistics". That is, you can understand the processes & descriptions even if you have not wasted your life and youth studying statistics; what is needed of it to understand is given shortly and very well. Many other books are too deep or too shallow (like Berry's, which is a good introduction, but nothing more than that).

If the rating was scaled 1-6 stars, I'd give this book a 10.

Rating: 5
Summary: Our most popular book
Comment: Over the last 3 years our company has bought 15+ copies of this book and have given it to our new employees to help them gain a practical perspective when writing machine learning applications. The book is filled with practical insights and gems learnt from real data analysis experience. We have read almost all other data mining and machine learning books and have standardized on this book. Although the book is great, the software is amazing! Weka (the name of the software that is described in the book and is available for free) contains the largest collection of machine learning algorithms available in a coherent package. The software is written in Java and we have used it under a variety of platforms. Weka is incredible, and when combined with the well written explanations I have to give this book top marks. I'm looking forward to the next edition.

Rating: 5
Summary: Stop searching for datamining: You've found it.
Comment: I've been working with "big name software" for some years, but when I joined the institution I work now and no tools where available I begun my quest for an open source tool that could help me build statistical models applied to real business problems.

As a result of this quest I found the WEKA data mining software on the Internet (you can find it on www.cs.waikato.ac.nz/~ml/weka/) and that nice piece of software leaded me to this book.

This book is EXCELLENT and I am giving 5 *five* stars to it as it helped me understanding the whole process of datamining: from loading the data to building the model.

I've read some reviews and I think some of them are not fair (particularly one that says that this book have "just words with no relation or sense at all").. THIS BOOK IS REALLY WELL WRITTEN but you have to read it slowly: As when you study something.

Buy this book (*don't forget to download the software*) and I am totally sure that you will be producing and using models in a week.

Can't imagine that some weeks ago

Cheers,

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