An Integrated Approach of MCDM Methods and Machine Learning Algorithms for Employees' Churn Prediction-Reference-Cited by-同舟云学术

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An Integrated Approach of MCDM Methods and Machine Learning Algorithms for Employees' Churn Prediction

Published:2023-01-07 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)
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Author:

Chowdhury Shefayatuj Johara¹,Mahi Mainul Islam²,Saimon Sadiqul Alam³,Urme Aynur Nahar¹,Nabil Rashidul Hasan²

Affiliation:

1. International Islamic University Chittagong,Department of CSE,Chittagong,Bangladesh

2. American International University-Bangladesh,Department of Computer Science,Dhaka,Bangladesh

3. International Islamic University Chittagong,Department of EEE,Chittagong,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10068861/10070025/10070079.pdf?arnumber=10070079

Reference28 articles.

1. Predicting Employee Attrition Using Machine Learning Techniques

2. Prediction of Employee Attrition Using Machine Learning and Ensemble Methods

3. A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning

4. Predicting Employee Attrition using Machine Learning

5. Predicting the Occurrence and Causes of Employee Turnover with Machine Learning

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1. An Expert System to Monitor and Risk Assessment of Chronic Disease Patients Using FTOPSIS;Lecture Notes in Networks and Systems;2024

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