Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria-Reference-Cited by-同舟云学术

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Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria

Published:2017-06 Issue: Volume:76 Page:1-11
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Katrutsa Alexandr,Strijov Vadim

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference29 articles.

1. A comparative evaluation of sequential feature selection algorithms;Aha,1996

2. Multicollinearity in regression: Review and examples;Askin;Journal of Forecasting,1982

3. Regression diagnostics: Identifying influential data and sources of collinearity;Belsley,2005

4. Least angle regression;Efron;The Annals of Statistics,2004

5. Solving multicollinearity problem using ridge regression models;El-Dereny;International Journal of Contemporary Mathematical Sciences,2011

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