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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems)

 
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems)   Author: Ian H. Witten, Eibe Frank
By Morgan Kaufmann
Average Customer Rating: Average rating of 5.0/5Average rating of 5.0/5Average rating of 5.0/5Average rating of 5.0/5Average rating of 5.0/5

List Price: £38.99
Our Price: £25.49

Read more information about Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) at Amazon.co.uk
Product Details
Binding: Paperback
Dewey Decimal Number: 006.3
EAN: 9780120884070
ISBN: 0120884070
Label: Morgan Kaufmann
Manufacturer: Morgan Kaufmann
Number Of Items: 1
Number Of Pages: 560
Publication Date: 2005-07-13
Publisher: Morgan Kaufmann
Studio: Morgan Kaufmann
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Customer Reviews

Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5 Revised and ready to lead you down a good path, 2006-05-21
Comment: Having read the first edition, the authors earn the extra rating because they've managed to improve on their work and practical WEKA resource offering. Without a doubt, an essential read for people who are both new and experienced in the fields of data mining, descriptive & predictive analytics or state & behavioural modelling.

The volume of material on the market today is still quite limited and in the gap between the first and second edition of this book, quite a lot has actually changed in the field. In my view, book content has only marginally progressed with the times, perhaps in favour of attempting to attract and activate new members, practictioners and commercially oriented researchers to the fore of data mining. It's a bold step to evolve material as the field evolves; those breaking new ground in this area should be more visible and offered greater support.

I believe that there is room in the market now for some revised materials covering anomalised commercial implementations of Advanced Data Mining & AI Concepts. A small community of authors could plug this gap really well.