Artificial intelligence-based scholarship and credit pre-assessment system

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dc.authorscopusid57200283141
dc.authorscopusid57212502229
dc.authorscopusid57200283612
dc.authorscopusid57194265151
dc.contributor.authorSaatçı, Sercan
dc.contributor.authorCansız, Hande
dc.contributor.authorAslan, Gülşah
dc.contributor.authorÖzhan, Erkan
dc.date.accessioned2022-05-11T14:15:50Z
dc.date.available2022-05-11T14:15:50Z
dc.date.issued2017
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description2nd International Conference on Computer Science and Engineering, UBMK 2017 -- 5 October 2017 through 8 October 2017 -- -- 132116
dc.description.abstractScholarships are given to students who are studied in university by public institutions and organizations such as Yüksek Ögrenim Kredi ve Yurtlar Kurumu by taking different criterions into account. The students who deserve to have scholarship are detected by examining information in the forms that are given to student to detect the person who needs the scholarship. This process is causing time loose and also quite exhausting. On the other hand, it becomes too difficult to make objective decisions in some situations. Using artificial intelligence and machine learning in the process of detecting students who will be given scholarship is important to evaluate in both objective and subjective ways to students who apply. The data which are used in this study are collected from the internet and the purpose of this study is to detect the students who are studying in the university and given scholarship by answering the questions, which are prepared by Kredi ve Yurtlar Kurumu, with artificial intelligence and machine learning methods objective and subjectively in a correct way. © 2017 IEEE.
dc.identifier.doi10.1109/UBMK.2017.8093514
dc.identifier.endpage1131
dc.identifier.isbn978-1538609309
dc.identifier.scopus2-s2.0-85040592146
dc.identifier.startpage1127
dc.identifier.urihttps://doi.org/10.1109/UBMK.2017.8093514
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6090
dc.indekslendigikaynakScopus
dc.institutionauthorSaatçı, Sercan
dc.institutionauthorCansız, Hande
dc.institutionauthorAslan, Gülşah
dc.institutionauthorÖzhan, Erkan
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2nd International Conference on Computer Science and Engineering, UBMK 2017
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectData mining
dc.subjectMachine learming
dc.subjectScholarship-credit artificial intelligence
dc.subjectArtificial intelligence
dc.subjectData mining
dc.subjectLearning systems
dc.subjectStudents
dc.subjectMachine learning methods
dc.subjectPre-assessment
dc.subjectPublic institution
dc.subjectEducation
dc.titleArtificial intelligence-based scholarship and credit pre-assessment system
dc.title.alternativeYapay Zeka Tabanli Burs ve Kredi Ön Degerlendirme Sistemi]
dc.typeConference Object

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