Publication:
Data mining application on students' data

dc.contributor.authorBULDU, ALİ
dc.contributor.authorsBuldu, Ali; Ucgun, Kerem
dc.contributor.editorUzunboylu, H
dc.date.accessioned2022-03-12T04:18:36Z
dc.date.accessioned2026-01-11T19:09:18Z
dc.date.available2022-03-12T04:18:36Z
dc.date.issued2010
dc.description.abstractIn today's world, due to the rapid development of technology, the amount of data stored has been constantly increasing in every field. It is intended to obtain meaningful, valuable information that is not previously known from these data by applying data mining techniques. In data mining techniques, association rules are one of the most preferred techniques. Apriori algorithm is the most used one in these association rules. In this work, by being carried out apriori algorithm upon the data of students of Istanbul Eyup I.M.K.B. Vocational Commerce High School, the rules have been produced and from the results obtained the relation between the courses that the students failed have been revealed. (C) 2010 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.sbspro.2010.03.855
dc.identifier.issn1877-0428
dc.identifier.urihttps://hdl.handle.net/11424/223604
dc.identifier.wosWOS:000282002805036
dc.language.isoeng
dc.publisherELSEVIER SCIENCE BV
dc.relation.ispartofINNOVATION AND CREATIVITY IN EDUCATION
dc.relation.ispartofseriesProcedia Social and Behavioral Sciences
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectData mining
dc.subjecteducation
dc.subjectassociation-relation rule
dc.subjectapriori algorithm
dc.subjectdata reducing
dc.titleData mining application on students' data
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage5259
oaire.citation.issue2
oaire.citation.startPage5251
oaire.citation.titleINNOVATION AND CREATIVITY IN EDUCATION
oaire.citation.volume2

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