Data Scaling by Differential Evolution for FCA over Data from LMS eLogika

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dc.contributor.authorKermaschek, Jakub
dc.contributor.authorDrazdilova, Pavla
dc.contributor.authorMensik, Marek
dc.coverage.issue1cs
dc.coverage.volume23cs
dc.date.accessioned2019-06-26T10:18:07Z
dc.date.available2019-06-26T10:18:07Z
dc.date.issued2017-06-01cs
dc.description.abstractThe e-learning system eLogika serves for teaching logic. The system collects data about users who arelogged in, e.g. time spent on a particular activity, the number of activities performed by particular students, whatdata is a student interested in, etc. The goal of this paper is to describe the application of many-valued formalconcept analysis (FCA) in order to discover typical patterns of students behavior. Since the data stored in theeLogika system are numerical we need to categorize them in order to be used in the many-valued FCA method.In the paper we describe a way of data categorization by di erential evolution that proved to be applicable in theFCA method with promising results.en
dc.formattextcs
dc.format.extent15-20cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2017 vol. 23, č. 1, s. 15-20. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2017.1.015en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/179193
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/43cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 Internationa licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0en
dc.subjectE-learningen
dc.subjectlog filesen
dc.subjectmany-valued FCAen
dc.subjectdata scalingen
dc.subjectdifferential evolutionen
dc.subjectbehavior patternen
dc.titleData Scaling by Differential Evolution for FCA over Data from LMS eLogikaen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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