Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/71379
DC Field | Value | Language |
---|---|---|
dc.contributor | 資管系 | en_US |
dc.creator | 楊亨利 | zh_TW |
dc.creator | Yang, Heng-Li;Lin, Qing-Feng | en_US |
dc.date | 2011.01 | en_US |
dc.date.accessioned | 2014-11-13T07:09:02Z | - |
dc.date.available | 2014-11-13T07:09:02Z | - |
dc.date.issued | 2014-11-13T07:09:02Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/71379 | - |
dc.description.abstract | With 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.extent | 959669 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en_US | - |
dc.relation | Journal of Convergence Information Technology, 6(1), 212-217 | en_US |
dc.subject | User Behavior;Clickstream;WMC; Data Mining | en_US |
dc.title | Clickstream Analysis on WMC platform | en_US |
dc.type | article | en |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en_US | - |
item.openairetype | article | - |
item.grantfulltext | restricted | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | 期刊論文 |
Files in This Item:
File | Size | Format | |
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212-217.pdf | 937.18 kB | Adobe PDF2 | View/Open |
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