Feature selection using ant colony optimization

Mohamed Deriche

doi:10.1109/SSD.2009.4956825

Feature selection using ant colony optimization

Mohamed Deriche

King Fahd University of Petroleum and Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

27 Scopus citations

Abstract

The ant feature selection algorithm has recently been proposed as a new method for feature subset selection. It uses measures of both local feature importance and overall performance of subsets to search the feature space for optimal solutions. In this paper, we evaluate the effect of different local importance measures; namely the Fisher Criterion, the Mutual Information based Feature Selection, and the Mutual Information Evaluation Function.

Original language	English
Title of host publication	2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009
DOIs	https://doi.org/10.1109/SSD.2009.4956825
State	Published - 2009
Externally published	Yes
Event	2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009 - Djerba, Taiwan, Province of China Duration: 23 Mar 2009 → 26 Mar 2009

Publication series

Name	2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009

Conference

Conference	2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009
Country/Territory	Taiwan, Province of China
City	Djerba
Period	23/03/09 → 26/03/09

Keywords

Ant colony optimization
Ant systems
Feature selection
Local measure

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10.1109/SSD.2009.4956825

Cite this

@inproceedings{9fedc1a09a3c4cbeb91d93366c000fde,

title = "Feature selection using ant colony optimization",

abstract = "The ant feature selection algorithm has recently been proposed as a new method for feature subset selection. It uses measures of both local feature importance and overall performance of subsets to search the feature space for optimal solutions. In this paper, we evaluate the effect of different local importance measures; namely the Fisher Criterion, the Mutual Information based Feature Selection, and the Mutual Information Evaluation Function.",

keywords = "Ant colony optimization, Ant systems, Feature selection, Local measure",

author = "Mohamed Deriche",

year = "2009",

doi = "10.1109/SSD.2009.4956825",

language = "English",

isbn = "9781424443468",

series = "2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009",

booktitle = "2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009",

note = "2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009 ; Conference date: 23-03-2009 Through 26-03-2009",

}

Deriche, M 2009, Feature selection using ant colony optimization. in 2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009., 4956825, 2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009, 2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009, Djerba, Taiwan, Province of China, 23/03/09. https://doi.org/10.1109/SSD.2009.4956825

TY - GEN

T1 - Feature selection using ant colony optimization

AU - Deriche, Mohamed

PY - 2009

Y1 - 2009

N2 - The ant feature selection algorithm has recently been proposed as a new method for feature subset selection. It uses measures of both local feature importance and overall performance of subsets to search the feature space for optimal solutions. In this paper, we evaluate the effect of different local importance measures; namely the Fisher Criterion, the Mutual Information based Feature Selection, and the Mutual Information Evaluation Function.

AB - The ant feature selection algorithm has recently been proposed as a new method for feature subset selection. It uses measures of both local feature importance and overall performance of subsets to search the feature space for optimal solutions. In this paper, we evaluate the effect of different local importance measures; namely the Fisher Criterion, the Mutual Information based Feature Selection, and the Mutual Information Evaluation Function.

KW - Ant colony optimization

KW - Ant systems

KW - Feature selection

KW - Local measure

UR - https://www.scopus.com/pages/publications/67650511425

U2 - 10.1109/SSD.2009.4956825

DO - 10.1109/SSD.2009.4956825

M3 - Conference contribution

AN - SCOPUS:67650511425

SN - 9781424443468

T3 - 2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009

BT - 2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009

T2 - 2009 6th International Multi-Conference on Systems, Signals and Devices, SSD 2009

Y2 - 23 March 2009 through 26 March 2009

ER -

Feature selection using ant colony optimization

Abstract

Publication series

Conference

Keywords

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