Exploratory Data Analysis and Classification of Employee Retention based on Logistic Regression Model-Reference-Cited by-同舟云学术

Exploratory Data Analysis and Classification of Employee Retention based on Logistic Regression Model

Published:2023-03-17 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)
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Author:

Bongale Anupkumar M¹,Dharrao Deepak²,Urolagin Siddhaling³

Affiliation:

1. Symbiosis International (Deemed) University,Symbiosis Institute of Technology,Department of Artificial Intelligence and Machine Learning,Pune,India

2. Symbiosis International (Deemed) University,Symbiosis Institute of Technology,Department of Computer Science and Engineering,Pune,India

3. Dubai International Academic City,Birla Institute of Technology & Science,Department of Computer Science and Engineering,Dubai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10112659/10112660/10112681.pdf?arnumber=10112681

Reference23 articles.

1. Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming

2. An Improved Machine Learning-Based Employees Attrition Prediction Framework with Emphasis on Feature Selection

3. The Application of the Depth Model of Precise Matching between People and Posts Based on Ability Perception in Human Resource Management

4. From data to insights: HR analytics in organisations;molefe;PhD University of Pretoria,2013

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1. Machine Learning for Ensuring Sustainable Development: Predicting Employee Attrition in the Workplace;2023 International Conference on Advanced Computing Technologies and Applications (ICACTA);2023-10-06

2. Modeling an Ensemble Learning Based Tool to Predict the Intention to Quit for Efficient Human Resource Management;2023