Enhancing the Prediction of Employee Turnover With Knowledge Graphs and Explainable AI-Reference-Cited by-同舟云学术

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Enhancing the Prediction of Employee Turnover With Knowledge Graphs and Explainable AI

Published:2024 Issue: Volume:12 Page:77041-77053
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al Akasheh Mariam¹^ORCID,Hujran Omar¹^ORCID,Faisal Malik Esraa²^ORCID,Zaki Nazar²^ORCID

Affiliation:

1. Department of Statistics and Business Analytics, College of Business and Economics, United Arab Emirates University, Al Ain, United Arab Emirates

2. Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10538112.pdf?arnumber=10538112

Reference62 articles.

1. Unlocking the value of artificial intelligence in human resource management through AI capability framework

2. Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms

3. Prediction of Employee Turnover in Organizations using Machine Learning Algorithms

4. Designing of customer and employee churn prediction model based on data mining method and neural predictor

5. An approach for predicting employee churn by using data mining

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