Jing Zhou

(Author)

Feature Selection in Data MiningPaperback, 26 May 2012

Feature Selection in Data Mining
Qty
1
Turbo
Ships in 2 - 3 days
In Stock
Free Delivery
Cash on Delivery
15 Days
Free Returns
Secure Checkout
Buy More, Save More
Turbo Shipping
Print Length
104 pages
Language
English
Publisher
AV Akademikerverlag
Date Published
26 May 2012
ISBN-10
3639418182
ISBN-13
9783639418187

Description

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 com-puted. Of these features, often only a small number are expected to be use-ful 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 pro-cess of generating new features with that of feature testing. Streamwise fea-ture 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 frame-work 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.

Product Details

Author:
Jing Zhou
Book Format:
Paperback
Country of Origin:
US
Date Published:
26 May 2012
Dimensions:
22.86 x 15.24 x 0.64 cm
ISBN-10:
3639418182
ISBN-13:
9783639418187
Language:
English
Pages:
104
Weight:
163.29 gm

Related Categories


Need Help?
+971 6 731 0280
support@gzb.ae

About UsContact UsPayment MethodsFAQsShipping PolicyRefund and ReturnTerms of UsePrivacy PolicyCookie Notice

VisaMastercardCash on Delivery

© 2024 White Lion General Trading LLC. All rights reserved.