A proposed model for predicting employee turnover of information technology specialists using data mining techniques
This article proposes a data mining framework to predict the significant explanations of employee turn-over problems. Using Support vector machine, decision tree, deep learning, random forest, and other classification algorithms, the authors propose features prediction framework to determine the inf...
Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001131288/Description |
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Matična publikacija: |
International journal of electrical and computer engineering systems (Online) 12 (2021), 2 ; str. 113-121 |
Glavni autori: | Ghazi, Ahmed Hosny (Author), Elsayed, Samir Ismail, Khedr, Ayman Elsayed |
Vrsta građe: | e-članak |
Jezik: | eng |
Predmet: | |
Online pristup: |
https://doi.org/10.32985/ijeces.12.2.6 International journal of electrical and computer engineering systems (Online) Hrčak |