An anomaly detection model using candid covariance-free incremental principal component analysis for wireless sensor networks

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書目詳細資料
主要作者:	Qasem, Murad Abdo Rassam
格式:	Thesis
出版:	2013
主題:	QA75 Electronic computers Computer science
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id	my-utm-ep.36706
record_format	uketd_dc
spelling	my-utm-ep.367062014-05-05T04:02:06Z An anomaly detection model using candid covariance-free incremental principal component analysis for wireless sensor networks 2013 Qasem, Murad Abdo Rassam QA75 Electronic computers. Computer science 2013 Thesis http://eprints.utm.my/id/eprint/36706/ phd doctoral Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Qasem, Murad Abdo Rassam An anomaly detection model using candid covariance-free incremental principal component analysis for wireless sensor networks
description
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Qasem, Murad Abdo Rassam
author_facet	Qasem, Murad Abdo Rassam
author_sort	Qasem, Murad Abdo Rassam
title	An anomaly detection model using candid covariance-free incremental principal component analysis for wireless sensor networks
title_short	An anomaly detection model using candid covariance-free incremental principal component analysis for wireless sensor networks
title_full	An anomaly detection model using candid covariance-free incremental principal component analysis for wireless sensor networks
title_fullStr	An anomaly detection model using candid covariance-free incremental principal component analysis for wireless sensor networks
title_full_unstemmed	An anomaly detection model using candid covariance-free incremental principal component analysis for wireless sensor networks
title_sort	anomaly detection model using candid covariance-free incremental principal component analysis for wireless sensor networks
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2013
_version_	1747816447267045376

An anomaly detection model using candid covariance-free incremental principal component analysis for wireless sensor networks

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