Investigating Predicting Voluntary Resignation Program Participation with Machine Learning-Reference-Cited by-同舟云学术

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Investigating Predicting Voluntary Resignation Program Participation with Machine Learning

Published:2024-05-20 Issue: Volume: Page:1-10
ISSN:
Container-title:Proceedings of the 20th Brazilian Symposium on Information Systems
language:
Short-container-title:

Author:

Jorge Ezequiel Mule¹^ORCID,Barbieri Lúcio Tales¹^ORCID,Escovedo Tatiana¹^ORCID,Kalinowski Marcos¹^ORCID

Affiliation:

1. PUC-Rio, Brazil

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3658271.3658326

Reference15 articles.

1. Pankaj Ajit. 2016. Prediction of employee turnover in organizations using machine learning algorithms. algorithms 4, 5 (2016), C5.

2. Brasil. 2017. Brasil Altera a Consolidacao das Leis do Trabalho (CLT). Retrieved June 08, 2023 from https://www.planalto.gov.br/ccivil_03/_Ato2015-2018/2017/Lei/L13467.htm

3. Brasil. 2023. Brasil Consolidacao das Leis do Trabalho. Retrieved June 08, 2023 from https://www.planalto.gov.br/ccivil_03/decreto-lei/del5452.htm

4. CGT Eletrosul. 2023. Quem somos CGT Eletrosul. Retrieved June 08, 2023 from https://www.cgteletrosul.com.br/a-empresa/quem-somos

5. Tatiana Escovedo. 2020. Trabalhando com classes desbalanceadas em problemas Machine Learning. Retrieved August 13, 2023 from https://tatianaesc.medium.com/trabalhando-com-classes-desbalanceadas-em-problemas-machine-learning-29ee8db4a049

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