Predicting Employee Attrition along with Identifying High Risk Employees using Big Data and Machine Learning-Reference-Cited by-同舟云学术

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Predicting Employee Attrition along with Identifying High Risk Employees using Big Data and Machine Learning

Published:2020-12-18 Issue: Volume: Page:
ISSN:
Container-title:2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN)
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Author:

Mhatre Apurva,Mahalingam Avantika,Narayanan Mahadevan,Nair Akash,Jaju Suyash

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9362509/9362727/09362933.pdf?arnumber=9362933

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2. Recognize and thrive: predicting employees’ satisfaction towards fairness in reward and recognition system using explainable machine learning and text mining;Global Knowledge, Memory and Communication;2024-08-27

3. Explainable prediction of node labels in multilayer networks: a case study of turnover prediction in organizations;Scientific Reports;2024-04-19

4. Envisaging College Personnel Turnover Using Machine Learning and Ensemble Learning Techniques;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

5. A triad ensemble learning framework for forecasting disengagement behaviour among employees using machine learning (ML) algorithms;International Journal of Information Technology;2024-03-24

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