Ensemble Methods In Data Mining

Ensemble Methods In Data Mining

by Giovanni Seni, John Elder
     
 

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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… See more details below

Overview

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.

Product Details

ISBN-13:
9781608452842
Publisher:
Morgan and Claypool Publishers
Publication date:
02/24/2010
Series:
Synthesis Lectures on Data Mining and Knowledge Discovery Series
Pages:
128
Product dimensions:
7.50(w) x 9.25(h) x 0.27(d)

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