Predicting Employee Attrition using Supervised Learning Classification Models-Reference-Cited by-同舟云学术

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Predicting Employee Attrition using Supervised Learning Classification Models

Published:2021-10-20 Issue: Volume: Page:
ISSN:
Container-title:2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS)
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Author:

Habous Amine,Nfaoui El Habib,Oubenaalla Youness

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9626703/9626704/09626761.pdf?arnumber=9626761

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis and classification of employee attrition and absenteeism in industry: A sequential pattern mining-based methodology;Computers in Industry;2024-08

2. Artificial Intelligence Based Employee Attrition Analysis and Prediction;2024 6th International Conference on Computing and Informatics (ICCI);2024-03-06

3. A Novel Methodology Design to Predict Employee Attrition by Using Hybrid Learning Strategy;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

4. Analysis of Employee Attrition using Statistical and Machine Learning Approaches;Communications in Computer and Information Science;2023-12-03

5. Predicting Employee Attrition Using Machine Learning Approaches;Applied Sciences;2022-06-24

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