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Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions
Contributor(s): Seni, Giovanni (Author), Elder, John (Author)

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 ISBN: 1608452840     ISBN-13: 9781608452842
Publisher: Morgan & Claypool
OUR PRICE: $33.25  

Binding Type: Paperback
Published: February 2010
* Out of Print *

Click for more in this series: Synthesis Lectures on Data Mining and Knowledge Discovery
Additional Information
BISAC Categories:
- Computers | Databases - Data Mining
Dewey: 006.3
Series: Synthesis Lectures on Data Mining and Knowledge Discovery
Physical Information: 0.27" H x 7.5" W x 9.25" L (0.51 lbs) 128 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This book is aimed at novice and advanced analytic researchers and practitioners -- especially in Engineering, Statistics, and Computer Science. Those with little exposure to ensembles will learn why and how to employ this breakthrough method, and advanced practitioners will gain insight into building even more powerful models. Throughout, snippets of code in R are provided to illustrate the algorithms described and to encourage the reader to try the techniques. The authors are industry experts in data mining and machine learning who are also adjunct professors and popular speakers. Although early pioneers in discovering and using ensembles, they here distill and clarify the recent groundbreaking work of leading academics (such as Jerome Friedman) to bring the benefits of ensembles to practitioners.
 
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