A tree-based algorithm for mining diverse social entities

dc.contributor.authorBraun, Peter
dc.contributor.authorCuzzocrea, Alfredo
dc.contributor.authorLeung, Carson K.
dc.contributor.authorMacKinnon, Richard Kyle
dc.contributor.authorTanbeer, Syed K.
dc.date.accessioned2017-02-13T15:06:54Z
dc.date.available2017-02-13T15:06:54Z
dc.date.issued2014
dc.descriptionP. Braun, A. Cuzzocrea, C.K. Leung, R.K. MacKinnon, S.K. Tanbeer. A tree-based algorithm for mining diverse social entities. Procedia Computer Science, 35 (2014), pp. 223-232. 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.abstractDiSE-growth, a tree-based (pattern-growth) algorithm for mining DIverse Social Entities, is proposed and experimentally assessed in this paper. The algorithm makes use of a specialized data structure, called DiSE-tree, for effectively and efficiently representing relevant information on diverse social entities while successfully supporting the mining phase. Diverse entities are popular in a wide spectrum of application scenarios, ranging from linked Web data to Semantic Web and social networks. In all these application scenarios, it has become important to analyze high volumes of valuable linked data and discover those diverse social entities. We complement our analytical contributions by means of an experimental evaluation that clearly shows the benefits of our tree-based diverse social entity mining algorithm.en_US
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC); University of Manitobaen_US
dc.identifier.citationP. Braun, A. Cuzzocrea, C.K. Leung, R.K. MacKinnon, S.K. Tanbeer. A tree-based algorithm for mining diverse social entities. Procedia Computer Science, 35 (2014), pp. 223-232.en_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.procs.2014.08.102
dc.identifier.urihttp://hdl.handle.net/1993/32121
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsopen accessen_US
dc.subjectdata miningen_US
dc.subjectdiverse friendsen_US
dc.subjectfriendship patternsen_US
dc.subjectintelligent information & engineering systemsen_US
dc.subjectknowledge based and expert systemsen_US
dc.subjectsocial computing systemsen_US
dc.subjectsocial network analysisen_US
dc.titleA tree-based algorithm for mining diverse social entitiesen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Braun_Cuzzocrea_JProCS35_2014.pdf
Size:
253.92 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.24 KB
Format:
Item-specific license agreed to upon submission
Description: