A framework for effective web log mining and online prediction

dc.contributor.advisor	Alhajj, Reda
dc.contributor.author	Guerbas, Abdelghani
dc.date.accessioned	2017-12-18T22:12:38Z
dc.date.available	2017-12-18T22:12:38Z
dc.date.issued	2010
dc.description	Bibliography: p. 71-75	en
dc.description	Some pages are in colour.	en
dc.format.extent	ix, 75 leaves : ill. ; 30 cm.	en
dc.identifier.citation	Guerbas, A. (2010). A framework for effective web log mining and online prediction (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/3786	en_US
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/3786
dc.identifier.uri	http://hdl.handle.net/1880/104787
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	A framework for effective web log mining and online prediction
dc.type	master thesis
thesis.degree.discipline	Computer Science
thesis.degree.grantor	University of Calgary
thesis.degree.name	Master of Science (MSc)
ucalgary.item.requestcopy	true
ucalgary.thesis.accession	Theses Collection 58.002:Box 1929 627942772
ucalgary.thesis.notes	UARC	en
ucalgary.thesis.uarcrelease	y	en

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