Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/20810
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dc.contributor.authorYin, Ming.-
dc.date.accessioned2010-01-15T01:16:07Z-
dc.date.available2010-01-15T01:16:07Z-
dc.date.copyright2007en_US
dc.date.issued2007-
dc.identifier.urihttp://hdl.handle.net/10356/20810-
dc.description.abstractNowadays, web sites may contain large amount of information and searching within web sites has become an important means to access information. Unfortunately, existing site search engines often fail to return web pages that best match user information needs a they ignore site-specific knowledge of the indexed web sites. Meanwhile, web unit mining is a new classification approach that explores conceptual knowledge to classify web pages from a web site. It models a web site with a set of concepts and discovers instances of those concepts, known as web units. Web units together provide the semantic structure of a web site, which could be used to enhance site search.en_US
dc.format.extent125 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University-
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrievalen_US
dc.titleUnit-based web site search.en_US
dc.typeThesis-
dc.contributor.supervisorGoh Hoe Lian, Dionen_US
dc.contributor.schoolWee Kim Wee School of Communication and Informationen_US
dc.description.degreeMaster of Applied Scienceen_US
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