CARSVM: classification by integrating class association rules and support vector machine

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dc.contributor.advisorAlhajj, Reda
dc.contributor.authorKeanmehr, Keivan
dc.date.accessioned2017-12-18T21:12:43Z
dc.date.available2017-12-18T21:12:43Z
dc.date.issued2006
dc.descriptionBibliography: p. 94-104en
dc.format.extentx, 104 leaves : ill. ; 30 cm.en
dc.identifier.citationKeanmehr, K. (2006). CARSVM: classification by integrating class association rules and support vector machine (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/648en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/648
dc.identifier.urihttp://hdl.handle.net/1880/101649
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity 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.titleCARSVM: classification by integrating class association rules and support vector machine
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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