Enhanced prediction of user-preferred YouTube videos based on cleaned viewing pattern history

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dc.contributor.authorBraun, Peter
dc.contributor.authorCuzzocrea, Alfredo
dc.contributor.authorDoan, Lam M.V.
dc.contributor.authorKim, Suyoung
dc.contributor.authorLeung, Carson K.
dc.contributor.authorMatundan, Jose Francisco A.
dc.contributor.authorSingh, Rashpal Robby
dc.date.accessioned2018-01-29T16:49:38Z
dc.date.available2018-01-29T16:49:38Z
dc.date.issued2017
dc.descriptionP. Braun, A. Cuzzocrea, L.M.V. Doan, S. Kim, C.K. Leung, J.F.A. Matundan, R.R. Singh. Enhanced prediction of user-preferred YouTube videos based on cleaned viewing pattern history. Procedia Computer Science, 112 (2017), pp. 2230-2239. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.description.abstractIn current era of big data, a wide variety of high-volume data having different veracity can be easily collected or generated at a high velocity. Social network data, as well as audio and video in social media and social networking sites, are examples of big data. Embedded in these big data are valuable information and knowledge. To discovery this implicit, previously unknown and potentially useful information and knowledge from these big data, some big data science solutions are in demand. In this paper, we explore big data mining techniques for detecting outliers or anomalies from YouTube video viewing history and data-cleaning this viewing log so that the user-preferred YouTube viewing patterns or trends can be recognized and the prediction of user-preferred YouTube videos can then be enhanced.en_US
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC); University of Manitobaen_US
dc.identifier.citationP. Braun, A. Cuzzocrea, L.M.V. Doan, S. Kim, C.K. Leung, J.F.A. Matundan, R.R. Singh. Enhanced prediction of user-preferred YouTube videos based on cleaned viewing pattern history. Procedia Computer Science, 112 (2017), pp. 2230-2239en_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.procs.2017.08.129
dc.identifier.urihttp://hdl.handle.net/1993/32868
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsopen accessen_US
dc.subjectdata miningen_US
dc.subjectoutlier detectionen_US
dc.subjectanomaly detectionen_US
dc.subjectYouTubeen_US
dc.subjectvideo viewing historyen_US
dc.subjecttrendsen_US
dc.subjectpredictionen_US
dc.subjectapplicationsen_US
dc.subjectknowledge engineeringen_US
dc.subjectlarge-scale systemsen_US
dc.titleEnhanced prediction of user-preferred YouTube videos based on cleaned viewing pattern historyen_US
dc.typeArticleen_US
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