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Feature Selection in Life Science Classifi cation: Metaheuristic Swarm Search
Fong, Simon1; Deb, Suash2; Yang, Xin-She3; Li, Jinyan1
2014-08-01
Source PublicationIT Professional
ISSN1520-9202
Volume16Issue:4Pages:24-29
Abstract

The purpose of classification in medical informatics is to predict the presence or absence of a particular disease as well as disease types from historical data. Medical data often contain irrelevant features and noise, and an appropriate subset of the significant features can improve classification accuracy. Therefore, researchers apply feature selection to identify and remove irrelevant and redundant features. The authors propose a versatile feature selection approach called Swarm Search Feature Selection (SS-FS), based on stochastic swarm intelligence. It is designed to overcome NP-hard combinatorial search problems such as the selection of an optimal feature subset from an extremely large array of features - which is not uncommon in biomedical data. SS-FS is demonstrated to be a feasible computing tool in achieving high accuracy in classification via testing with two empirical biomedical datasets. This article is part of a special issue on life sciences computing. 

DOIhttps://doi.org/10.1109/MITP.2014.50
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS IDWOS:000341569300006
PublisherIEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA
The Source to ArticleEngineering Village
Fulltext Access
Citation statistics
Cited Times [WOS]:27   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.University of Macau, China;
2.Cambridge Institute of Technology, India;
3.Middlesex University, United Kingdom
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Fong, Simon,Deb, Suash,Yang, Xin-She,et al. Feature Selection in Life Science Classifi cation: Metaheuristic Swarm Search[J]. IT Professional,2014,16(4):24-29.
APA Fong, Simon,Deb, Suash,Yang, Xin-She,&Li, Jinyan.(2014).Feature Selection in Life Science Classifi cation: Metaheuristic Swarm Search.IT Professional,16(4),24-29.
MLA Fong, Simon,et al."Feature Selection in Life Science Classifi cation: Metaheuristic Swarm Search".IT Professional 16.4(2014):24-29.
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