An approach towards intrusion detection using PCA feature subsets and SVM
Saved in:
Format: | Citation Index Journal |
---|---|
Published: |
2012
|
Online Access: | http://eprints.utp.edu.my/9394/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utp.eprints.9394 |
---|---|
record_format |
eprints |
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/ |
_version_ |
1738655740545990656 |
score |
13.226497 |