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A Two-Stage Stacking Ensemble Learning for Employee Attrition Prediction · Study

WorkA Two-Stage Stacking Ensemble Learning for Employee Attrition Prediction

Sourav Barman2024

Work2024

A Two-Stage Stacking Ensemble Learning for Employee Attrition Prediction

Sourav Barman · Md. Raju Biswas · Sultana Marjan · Nazmun Nahar · Md. Hasan Imam · Tanjim Mahmud +3 more

18 citations·0/0 files stored·Lecture notes in networks and systems

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AI and HR Technologies Online Learning and Analytics Customer churn and segmentation

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References

2018Employee Turnover Prediction with Machine Learning: A Reliable Approach 2018Predicting Employee Attrition using Machine Learning 2017Evaluation of machine learning models for employee churn prediction 2021Prediction of Employee Attrition Using Machine Learning and Ensemble Methods 2019Predictive Modelling of Employee Turnover in Indian IT Industry Using Machine Learning Techniques 2019Performance Predicting in Hiring Process and Performance Appraisals Using Machine Learning 2022A Decision Concept to Support House Hunting 2019Prediction of employee performance using machine learning techniques

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2022Employee attrition prediction in a pharmaceutical company using both machine learning approach and qualitative dataarticle · 4 shared references 2025Machine Learning Approaches for Predicting Employee Turnover: A Systematic Reviewreview · 4 shared references 2024Employee Attrition Prediction using Machine Learning Models: A Review Paperarticle · 4 shared references 2024Predicting Employee Turnover: Scoping and Benchmarking the State-of-the-Artarticle · 4 shared references 2023A decade of research on machine learning techniques for predicting employee turnover: A systematic literature reviewreview · 3 shared references 2022Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithmsarticle · 3 shared references

Details

Year2024

Typeother

Published2024-10-16

VenueLecture notes in networks and systems

ISSN-L2367-3370

Languageen

Citations18

Files0 public / 0

ShelfAI and HR Technologies

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doi10.1007/978-981-97-3937-0_9

openalex_workW4403452230

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