Feature Selection in Data Mining

Language: English

Published by AV Akademikerverlag Mai 2012, 2012

3639418182 / 9783639418187

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This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. In many predictive modeling tasks, one has a fixed set of observations from which a vast, or even infinite, set of potentially predictive features can be computed. Of these features, often only a small number are expected to be useful in a predictive model. Models which use the entire set of features will almost certainly overfit on future data sets. The book presents streamwise feature selection which interleaves the process of generating new features with that of feature testing. Streamwise feature selection scales well to large feature sets. The book also describes how to use streamwise feature seleciton in multivariate regressions. It includes a review of traditional feature selecitions in a general framework based on information theory, and compares these methods with streamwise feature selection on various real and synthetic data sets. This book is intended to be used by researchers in machine learning, data mining, and knowledge discovery.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.…

Seller Inventory # 9783639418187

Title
Feature Selection in Data Mining
Author
Jing Zhou
Publisher
AV Akademikerverlag Mai 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3639418182
ISBN 13
9783639418187
Item weight
173 grams
Dimensions
220x150x7 mm

buchversandmimpf2000

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