Faculty of Engineering Students' Success Analysis with Clustering Methods

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dc.authorid0000-0002-1786-6869
dc.authorid0000-0001-8625-4842
dc.authorscopusid55807379700
dc.authorscopusid16309030500
dc.authorwosidAlbayrak, Songül/G-5329-2011
dc.authorwosidVarlı, Songül/AAZ-4672-2020
dc.authorwosidSAYGILI, AHMET/AAG-4161-2019
dc.contributor.authorSaygılı, Ahmet
dc.contributor.authorAlbayrak, Songül
dc.date.accessioned2022-05-11T14:15:47Z
dc.date.available2022-05-11T14:15:47Z
dc.date.issued2013
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS
dc.description.abstractIn this study, data clustering analysis for the student of faculty of engineering carried out. Cluster analysis, using the different characteristics or similar properties of objects in the data set, aims at creating in the same cluster homogeneous and between different clusters heterogeneous groups. This is the process of analyzing students' demographic data, and settlement in University Entrance Exam scores success percentages weighted grade point average information gained will be used. In addition, examining the general characteristics of the clusters formed and the regions and school types of the students have interpreted. Hard and fuzzy clustering algorithms are used in study and their performances are compared. Outlier detection was performed for the clusters with Box-Plot analysis which used as a tool to measure the success of the methods in the study.
dc.identifier.isbn978-1-4673-5563-6
dc.identifier.isbn978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84880891689
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6073
dc.identifier.wosWOS:000325005300094
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorSaygılı, Ahmet
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectClustering Analysis
dc.subjectFuzzy C-Means
dc.subjectK-Means
dc.subjectStudent Datas
dc.titleFaculty of Engineering Students' Success Analysis with Clustering Methods
dc.title.alternativeÖbekleme yöntemleri ile mühendislik fakültesi ögrencilerinin basari analizi]
dc.typeConference Object

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