Data.Mining.Practical.Machine.Learning.Tools.and.Techniques.Second.Edition

Description

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work.

The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more.

+ Authors, Ian Witten and Eibe Frank, recipients of the 2005 ACM SIGKDD Service Award.
+ Algorithmic methods at the heart of successful data miningincluding tried and true techniques as well as leading edge methods;
+ Performance improvement techniques that work by transforming the input or output;
+ Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualizationin a new, interactive interface.

Download
Download address 1
Download address 2
Download address 3

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Download links for "Data.Mining.Practical.Machine.Learning.Tools.and.Techniques.Second.Edition":




How to Download
You may need eMule or Bittorrent to download ebook torrents or emule links.

Report Dead Link
Please leave a comment to report dead links, so that someone else may update new links.

1. Ebooks list page : 294
2. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition
3. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition
4. Data Mining Practical Machine Learning Tools and Techniques Second Edition
5. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition
6. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Repost)
7. [share_ebook] Data Mining: Practical Machine Learning Tools and Techniques, Second Edition
8. Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Mo
9. Data Mining: Practical Machine Learning Tools and Techniques
10. Principles and Theory for Data Mining and Machine Learning
11. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
12. Principles of Data Mining Adaptive Computation and Machine Learning
13. [share_ebook] Principles and Theory for Data Mining and Machine Learning
14. Principles of Data Mining (Adaptive Computation and Machine Learning) (Repost)
15. Marcus A. Maloof, ?Machine Learning and Data Mining for Computer Security?
16. Machine Learning and Data Mining for Computer Security: Methods and Applications