Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/6223
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dc.contributor.authorIvančević, Vladimiren
dc.contributor.authorLuković, Ivanen
dc.date.accessioned2019-09-30T08:53:31Z-
dc.date.available2019-09-30T08:53:31Z-
dc.date.issued2015-01-01en
dc.identifier.issn16130073en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/6223-
dc.description.abstractThe field of educational data mining (EDM) has been slowly expanding to embrace various graph-based approaches to interpretation and analysis of educational data. However, there is a great wealth of software tools for graph creation, visualization, and analysis, both general-purpose and domain-specific, which may discourage EDM practitioners from finding a tool suitable for their graph-related problem. For this reason, we conducted a systematic mapping study on the usage of software tools for graphs in the EDM domain. By analysing papers from the proceedings of previous EDM conferences we tried to understand how and to what end graph tools were used, as well as whether researchers faced any particular challenges in those cases. In this paper, we compile studies that relied on graph tools and provide answers to the posed questions.en
dc.relation.ispartofCEUR Workshop Proceedingsen
dc.titleA systematic mapping study on the usage of software tools for graphs within the EDM communityen
dc.typeConference Paperen
dc.identifier.scopus2-s2.0-84944339517en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84944339517en
dc.relation.volume1446en
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFakultet tehničkih nauka, Departman za računarstvo i automatiku-
crisitem.author.parentorgFakultet tehničkih nauka-
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