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1 Ergebnisse
1
Predicting Employee Turnover Using Decision Tree Models in ..:
, In:
2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)
,
Goyal, Nandita
;
Narendra Kiran, P B
;
Singhal, Nidhi
... - p. 1123-1128 , 2023
Link:
https://doi.org/10.1109/ICCCIS60361.2023.10425166
RT T1 <cTitle>2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)</cTitle>: T1 <Title>Predicting Employee Turnover Using Decision Tree Models in RapidMiner for a Sustainable Human Resource Management Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10425166&Exemplar=1&LAN=DE A1 Goyal, Nandita A1 Narendra Kiran, P B A1 Singhal, Nidhi A1 Tyagi, Vibhuti A1 Singh, Jagendra A1 Manikandan, N. YR 2023 K1 Adaptation models K1 Engineering profession K1 Statistical analysis K1 Companies K1 Predictive models K1 Trajectory K1 Decision trees K1 Employee Turnover K1 Decision Tree Models K1 RapidMiner K1 IT Sector Retention K1 Predictive Analytics SP 1123 OP 1128 LK http://dx.doi.org/https://doi.org/10.1109/ICCCIS60361.2023.10425166 DO https://doi.org/10.1109/ICCCIS60361.2023.10425166 SF ELIB - SuUB Bremen
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