Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions by Giovanni SeniEnsemble Methods in Data Mining: Improving Accuracy Through Combining Predictions by Giovanni Seni

Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions

byGiovanni Seni, John ElderEditorRobert Grossman

Paperback | February 24, 2010

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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.
Title:Ensemble Methods in Data Mining: Improving Accuracy Through Combining PredictionsFormat:PaperbackDimensions:126 pages, 9.25 × 7.5 × 0.68 inPublished:February 24, 2010Publisher:MORGAN & CLAYPOOL PUBLISHERSLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1608452840

ISBN - 13:9781608452842

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