ClusTex: using clustering techniques for information extraction from HTML pages containing semi-structured data

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dc.contributor.advisorAlhajj, Reda
dc.contributor.authorAshraf, Fatima
dc.date.accessioned2017-12-18T21:00:40Z
dc.date.available2017-12-18T21:00:40Z
dc.date.issued2005
dc.descriptionBibliography: p. 86-91en
dc.format.extentix, 91 leaves : ill. ; 30 cm.en
dc.identifier.citationAshraf, F. (2005). ClusTex: using clustering techniques for information extraction from HTML pages containing semi-structured data (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/79en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/79
dc.identifier.urihttp://hdl.handle.net/1880/101080
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.titleClusTex: using clustering techniques for information extraction from HTML pages containing semi-structured data
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accessionTheses Collection 58.002:Box 1553 520492070
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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