DETERMINING THE EXPRESSIONS ON THE EMPLOYEE PERFORMANCE SCALE WITH THE DECISION TREE ALGORITHM

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dc.authoridEksili, Nisa/0000-0002-6717-3665
dc.contributor.authorCelik, Sumeyye
dc.contributor.authorBozkurt, Ozlem Cetinkaya
dc.contributor.authorEksili, Nisa
dc.date.accessioned2025-01-06T17:37:22Z
dc.date.available2025-01-06T17:37:22Z
dc.date.issued2022
dc.description.abstractEmployee performance is an important concept that has been the subject of many studies. In this study, classification was made on employee performance data by using decision trees, which is one of the data mining methods. It has been researched that which or which of the expressions in the employee performance scale are more effective in determining the performance level. For this purpose, the data of a survey study conducted in 2017 were used to examine the relationships between performance, career planning, job satisfaction and personality. The classification of the performance level of the employees was carried out by applying the decision tree method on the data. In the results of working; It has been seen that decision trees predict employee performance with high success. In addition, as a result of the analysis, it was revealed that the statements P1 I complete my tasks on time and IT4 In terms of giving me the chance to be a respected person in the society in the scale are more effective in determining the employee performance level.
dc.identifier.doi10.30798/makuiibf.913478
dc.identifier.endpage584
dc.identifier.issn2149-1658
dc.identifier.issue1
dc.identifier.startpage561
dc.identifier.trdizinid510263
dc.identifier.urihttps://doi.org/10.30798/makuiibf.913478
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/510263
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2207
dc.identifier.volume9
dc.identifier.wosWOS:000777475900024
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isotr
dc.publisherMehmet Akif Ersoy Univ
dc.relation.ispartofJournal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectData Mining
dc.subjectDecision Trees
dc.subjectClassification
dc.subjectEmployee Performance
dc.titleDETERMINING THE EXPRESSIONS ON THE EMPLOYEE PERFORMANCE SCALE WITH THE DECISION TREE ALGORITHM
dc.typeArticle

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