Incrementally mining dynamic databases and overcoming main memory bottleneck in mining huge databases

dc.contributor.advisor	Alhajj, Reda
dc.contributor.author	Adnan, Muhaimenul
dc.date.accessioned	2017-12-18T21:10:21Z
dc.date.available	2017-12-18T21:10:21Z
dc.date.issued	2006
dc.description	Bibliography: p. 98-103	en
dc.description	Some pages are in colour.	en
dc.format.extent	x, 103 leaves : ill. ; 30 cm.	en
dc.identifier.citation	Adnan, M. (2006). Incrementally mining dynamic databases and overcoming main memory bottleneck in mining huge databases (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/529	en_US
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/529
dc.identifier.uri	http://hdl.handle.net/1880/101530
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	Incrementally mining dynamic databases and overcoming main memory bottleneck in mining huge databases
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 1624 520492141
ucalgary.thesis.notes	UARC	en
ucalgary.thesis.uarcrelease	y	en

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