Mining of diverse social entities from linked data

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dc.contributor.authorCuzzocrea, Alfredo
dc.contributor.authorLeung, Carson K.
dc.contributor.authorTanbeer, Syed K.
dc.date.accessioned2017-02-13T16:04:17Z
dc.date.available2017-02-13T16:04:17Z
dc.date.issued2014
dc.descriptionA. Cuzzocrea, C.K. Leung, & S.K. Tanbeer. Mining of diverse social entities from linked data. In Proc. EDBT/ICDT Workshops 2014, pp. 269-274. This paper is published in the Workshop Proceedings of the EDBT/ICDT 2014 Joint Conference (March 28, 2014, Athens, Greece) on CEUR-WS.org (ISSN 1613-0073) under the terms of the Creative Commons license CC-by-nc-nd 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0).en_US
dc.description.abstractNowadays, high volumes of valuable data can be easily generated or collected from various data sources at high velocity. As these data are often related or linked, they form a web of linked data. Examples include semantic web and social web. The social web captures social relationships that link people (i.e., social entities) through the World Wide Web. Due to the popularity of social networking sites, more people have joined and more online social interactions have taken place. With a huge number of social entities (e.g., users or friends in social networks), it becomes important to analyze high volumes of linked data and discover those diverse social entities. In this paper, we present (i) a tree-based mining algorithm called DF-growth, along with (ii) its related data structure called DF-tree, which allow users to effectively and efficiently mine diverse friends from social networks. Results of our experimental evaluation showed both the time and space-efficiency of our scalable DF-growth algorithm, which makes good use of the DF-tree structure.en_US
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC); University of Manitobaen_US
dc.identifier.citationA. Cuzzocrea, C.K. Leung, & S.K. Tanbeer. Mining of diverse social entities from linked data. In Proc. EDBT/ICDT Workshops 2014, pp. 269-274.en_US
dc.identifier.otherhttp://ceur-ws.org/Vol-1133/paper-43.pdf
dc.identifier.urihttp://hdl.handle.net/1993/32127
dc.language.isoengen_US
dc.publisherCEUR Workshop Proceedingsen_US
dc.relation.ispartofseriesCEUR Workshop Proceedings (ISSN 1613-0073);Vol. 1133
dc.rightsopen accessen_US
dc.subjectdata miningen_US
dc.subjectfriendship patternsen_US
dc.subjectdiverse friendsen_US
dc.subjectlinked dataen_US
dc.subjectsocial networksen_US
dc.subjectextending database technologyen_US
dc.subjectdatabase theoryen_US
dc.titleMining of diverse social entities from linked dataen_US
dc.typeArticleen_US
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