Offline/realtime network traffic classification using semi-supervised learning

dc.contributor.advisor	Mahanti, Anirban
dc.contributor.author	Erman, Jeffrey
dc.date.accessioned	2017-12-18T21:24:00Z
dc.date.available	2017-12-18T21:24:00Z
dc.date.issued	2007
dc.description	Bibliography: p. 114-122	en
dc.format.extent	x, 127 leaves : ill. ; 30 cm.	en
dc.identifier.citation	Erman, J. (2007). Offline/realtime network traffic classification using semi-supervised learning (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/1228	en_US
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/1228
dc.identifier.uri	http://hdl.handle.net/1880/102229
dc.language.iso	eng
dc.publisher.institution	University of Calgary	en
dc.publisher.place	Calgary	en
dc.rights	University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.title	Offline/realtime network traffic classification using semi-supervised learning
dc.type	master thesis
thesis.degree.discipline	Computer Science
thesis.degree.grantor	University of Calgary
thesis.degree.name	Master of Science (MSc)
ucalgary.thesis.accession	Theses Collection 58.002:Box 1712 520492229
ucalgary.thesis.notes	UARC	en
ucalgary.thesis.uarcrelease	y	en

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