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Predicting Employee Voluntary Departure: Leveraging Machine..:
, In:
2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)
,
Sarmento, Goncalo
;
Mota, Mickael
;
Abbasi, Maryam
. - p. 580-585 , 2023
Link:
https://doi.org/10.1109/SmartTechCon57526.2023.1039155
RT T1 <cTitle>2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)</cTitle>: T1 <Title>Predicting Employee Voluntary Departure: Leveraging Machine Learning Algorithms for Improved Retention Strategies</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10391556&Exemplar=1&LAN=DE A1 Sarmento, Goncalo A1 Mota, Mickael A1 Abbasi, Maryam A1 Martins, Pedro YR 2023 K1 Support vector machines K1 Logistic regression K1 Machine learning algorithms K1 Computational modeling K1 Software algorithms K1 Neurons K1 Prediction algorithms K1 Predictive modeling K1 Human resources K1 Comparative analysis K1 Performance evaluation K1 Algorithm selection SP 580 OP 585 LK http://dx.doi.org/https://doi.org/10.1109/SmartTechCon57526.2023.10391556 DO https://doi.org/10.1109/SmartTechCon57526.2023.10391556 SF ELIB - SuUB Bremen
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