An approach towards intrusion detection using PCA feature subsets and SVM

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Bibliographic Details
Format: Citation Index Journal
Published: 2012
Online Access:http://eprints.utp.edu.my/9394/
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id my.utp.eprints.9394
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spelling my.utp.eprints.93942013-04-02T05:24:58Z An approach towards intrusion detection using PCA feature subsets and SVM 2012 Citation Index Journal NonPeerReviewed UNSPECIFIED (2012) An approach towards intrusion detection using PCA feature subsets and SVM. [Citation Index Journal] http://eprints.utp.edu.my/9394/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Citation Index Journal
title An approach towards intrusion detection using PCA feature subsets and SVM
spellingShingle An approach towards intrusion detection using PCA feature subsets and SVM
title_short An approach towards intrusion detection using PCA feature subsets and SVM
title_full An approach towards intrusion detection using PCA feature subsets and SVM
title_fullStr An approach towards intrusion detection using PCA feature subsets and SVM
title_full_unstemmed An approach towards intrusion detection using PCA feature subsets and SVM
title_sort approach towards intrusion detection using pca feature subsets and svm
publishDate 2012
url http://eprints.utp.edu.my/9394/
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score 13.226497