Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/71379
DC FieldValueLanguage
dc.contributor資管系en_US
dc.creator楊亨利zh_TW
dc.creatorYang, Heng-Li;Lin, Qing-Fengen_US
dc.date2011.01en_US
dc.date.accessioned2014-11-13T07:09:02Z-
dc.date.available2014-11-13T07:09:02Z-
dc.date.issued2014-11-13T07:09:02Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/71379-
dc.description.abstractWith the rapid development of information technology and Internet, more and more new applications emerged to challenge the way we live. Microsoft introduced a digital media entertainment platform called Windows Media Center (WMC). On this platform, users can easily access media services, such like online movies, radio, videos, games and photos from registered service providers by a special personal computer. In this paper we introduce an approach to discover user behavior on this platform. Our approach not only focuses on the rules between pages viewed by user but also focuses on what they have done in each page.en_US
dc.format.extent959669 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen_US-
dc.relationJournal of Convergence Information Technology, 6(1), 212-217en_US
dc.subjectUser Behavior;Clickstream;WMC; Data Miningen_US
dc.titleClickstream Analysis on WMC platformen_US
dc.typearticleen
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en_US-
item.openairetypearticle-
item.grantfulltextrestricted-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
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