The Determination of Socio-Economic Factors Affecting Student Success By Data Mining Methods
dc.authorscopusid | 8676008700 | |
dc.authorscopusid | 58356886400 | |
dc.authorscopusid | 56131587300 | |
dc.authorwosid | Ustun, Suleyman/Aej-3840-2022 | |
dc.contributor.author | Atalay, Veli | |
dc.contributor.author | Ustun, Suleyman | |
dc.contributor.author | Bulbul, Selin | |
dc.date.accessioned | 2020-04-17T21:02:16Z | |
dc.date.available | 2020-04-17T21:02:16Z | |
dc.date.issued | 2013 | |
dc.department | Çankaya University | en_US |
dc.department-temp | [Atalay, Veli] Gazi Univ, Inst Informat, Ankara, Turkey; [Ustun, Suleyman] Minist Educ, Mimar Sinan Vocat High Sch, Izmir, Turkey; [Bulbul, Selin] Cankaya Univ, Dept Business Adm, Ankara, Turkey | en_US |
dc.description.abstract | The success of socio-economic level on students is a fact. The economic level and conditions combined with the student's potential make itself felt at the ultimate level. In this research, it was established that success and socio-economic factors which can attract the attention are effectively observed on particularly female students. It was ensured that a real and sound socio-economic criteria for success be determined by evaluating success and failure at terminal points. Decision trees and chi-square test were used in the implementation. | en_US |
dc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
dc.identifier.citation | Atalay, Veli; Ustun, Suleyman; Bulbul, Selin, "The Determination Of Socio-Economic Factors Affecting Student Success By Data Mining Methods", 2013 12th International Conference On Machine Learning and Applıcations (Icmla 2013), pp. 540-542, (2013). | en_US |
dc.identifier.doi | 10.1109/ICMLA.2013.174 | |
dc.identifier.endpage | 542 | en_US |
dc.identifier.isbn | 9780769551449 | |
dc.identifier.scopus | 2-s2.0-84899408765 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 540 | en_US |
dc.identifier.uri | https://doi.org/10.1109/ICMLA.2013.174 | |
dc.identifier.wos | WOS:000353638700095 | |
dc.identifier.wosquality | N/A | |
dc.language.iso | en | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 12th International Conference on Machine Learning and Applications (ICMLA) -- DEC 04-07, 2013 -- Miami, FL | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.scopus.citedbyCount | 1 | |
dc.subject | Data Mining | en_US |
dc.subject | Decision Tree | en_US |
dc.subject | Ibm Moduler | en_US |
dc.subject | Navie Bayes | en_US |
dc.title | The Determination of Socio-Economic Factors Affecting Student Success By Data Mining Methods | tr_TR |
dc.title | The Determination of Socio-Economic Factors Affecting Student Success by Data Mining Methods | en_US |
dc.type | Conference Object | en_US |
dc.wos.citedbyCount | 1 | |
dspace.entity.type | Publication |
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