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Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
11 references·9 citing·42 second hop
Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms (2022)Automated Prediction of Employee Attritio…A Technology Acceptance Model-Based Analytics for Online Mobile Games Using Machine Learning Techniques (2021)A Technology Acceptance Model…Predicting Employee Attrition Using Machine Learning Techniques (2020)Predicting Employee Attrition…Explaining and predicting employees’ attrition: a machine learning approach (2020)Explaining and predicting emp…Predicting Employee Attrition using Machine Learning (2018)Predicting Employee Attrition…Employee Turnover Prediction with Machine Learning: A Reliable Approach (2018)Employee Turnover Prediction …Early Prediction of Employee Attrition using Data Mining Techniques (2018)Early Prediction of Employee …Evaluation of machine learning models for employee churn prediction (2017)Evaluation of machine learnin…Prediction of Employee Turnover in Organizations using Machine Learning Algorithms (2016)Prediction of Employee Turnov…ANALYZING EMPLOYEE ATTRITION USING DECISION TREE ALGORITHMS (2013)ANALYZING EMPLOYEE ATTRITION …Health and Labor Market Success: The Role of Various Diseases (1979)Health and Labor Market Succe…A Formula for the Gini Coefficient (1979)A Formula for the Gini Coeffi…Machine Learning Models for Predicting Employee Attrition: A Data Science Perspective (2025)Machine Learning Models for P…Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review (2025)Machine Learning Approaches f…Employee Retention Analytics: Predictive Modeling for Workforce Stability and Talent Management (2025)Employee Retention Analytics:…Employee Attrition Prediction Using Bayesian Optimized Stacked Ensemble Learning and Explainable AI (2025)Employee Attrition Prediction…A Deep Learning Model Based on Bidirectional Temporal Convolutional Network (Bi-TCN) for Predicting Employee Attrition (2025)A Deep Learning Model Based o…Enhancing the Prediction of Employee Turnover With Knowledge Graphs and Explainable AI (2024)Enhancing the Prediction of E…Employee Attrition Prediction using Machine Learning Models: A Review Paper (2024)Employee Attrition Prediction…Convolutional Neural Network and Capsule Network Fusion for Effective Attrition Classification (2023)Convolutional Neural Network …AI in HRM: case study analysis. Preliminary research (2023)AI in HRM: case study analysi…Career Orientations of MIS Employees: An Empirical Analysis (1991)Building Data Mining Applications for CRM (1999)Retaining talent : a guide to analyzing and managing employee turnover (2008)Employee Attrition Estimation Using Random Forest Algorithm (2021)A Comparison of Machine Learning Approaches for Predicting Employee Attrition (2022)A multi-stakeholder ethical framework for AI-augmented HRM (2022)The Value of Saving a Life: Evidence from the Labor Market (1976)Some Economic and Demographic Consequences of Mental Illness (1986)Measurement Error in Self-Reported Health Variables (1987)The effect of alcohol use on wages (1988)Employee Turnover: A Meta-Analysis and Review with Implications for Research (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)5 Turnover and Retention Research: A Glance at the Past, a Closer Review of the Present, and a Venture into the Future (2008)Algorithms as work designers: How algorithmic management influences the design of jobs (2021)A review of the literature on employee turnover (2007)Employee churn prediction (2010)A review paper on artificial intelligence at the service of human resources management (2020)Intelligent Employee Retention System for Attrition Rate Analysis and Churn Prediction (2021)Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry (2006)From Big Data to Deep Data to Support People Analytics for Employee Attrition Prediction (2021)Predictive Model of Employee Attrition Based on Stacking Ensemble Learning (2022)Responsible artificial intelligence in human resources management: a review of the empirical literature (2023)The effects of pay level on organization‐based self‐esteem and performance: A field study (2004)An exploratory study of US lodging properties' organizational practices on employee turnover and retention (2009)An Improved Machine Learning-Based Employees Attrition Prediction Framework with Emphasis on Feature Selection (2021)Customer churn prediction using improved balanced random forests (2008)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Designing of customer and employee churn prediction model based on data mining method and neural predictor (2017)A novel deep learning model based on convolutional neural networks for employee churn prediction (2021)A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review (2023)Potential of Artificial Intelligence in Boosting Employee Retention in the Human Resource Industry (2023)Human Resource Management and Labor Productivity: Does Industry Matter? (2005)The Future of Management (2008)Human resource management and performance: still searching for some answers (2011)Analyzing Employee Attrition Using Explainable AI for Strategic HR Decision-Making (2023)A Meta-Analysis of Antecedents and Correlates of Employee Turnover: Update, Moderator Tests, and Research Implications for the Next Millennium (2000)What really matters in a job? Hedonic measurement using quit data (2001)Machine learning and role of artificial intelligence in optimizing work performance and employee behavior (2021)Predicting and explaining employee turnover intention (2022)Poverty and famines an essay on entitlement and deprivation (1981)A note on the calculation and interpretation of the Gini index (1984)Are CO2 taxes regressive? Evidence from the Danish experience (2005)
this work references cited by second hop

References

  • 1979A Formula for the Gini Coefficient587 cited
  • 2020Predicting Employee Attrition Using Machine Learning Techniques280 cited
  • 2016Prediction of Employee Turnover in Organizations using Machine Learning Algorithms243 cited
  • 1979Health and Labor Market Success: The Role of Various Diseases236 cited
  • 2018Employee Turnover Prediction with Machine Learning: A Reliable Approach170 cited
  • 2018Predicting Employee Attrition using Machine Learning138 cited
  • 2017Evaluation of machine learning models for employee churn prediction118 cited
  • 2020Explaining and predicting employees’ attrition: a machine learning approach101 cited
  • 2018Early Prediction of Employee Attrition using Data Mining Techniques82 cited
  • 2013ANALYZING EMPLOYEE ATTRITION USING DECISION TREE ALGORITHMS80 cited
  • 2021A Technology Acceptance Model-Based Analytics for Online Mobile Games Using Machine Learning Techniques44 cited

Cited by

  • 2024Enhancing the Prediction of Employee Turnover With Knowledge Graphs and Explainable AI39 cited
  • 2023Convolutional Neural Network and Capsule Network Fusion for Effective Attrition Classification33 cited
  • 2025Employee Retention Analytics: Predictive Modeling for Workforce Stability and Talent Management30 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2025A Deep Learning Model Based on Bidirectional Temporal Convolutional Network (Bi-TCN) for Predicting Employee Attrition29 cited
  • 2023AI in HRM: case study analysis. Preliminary research27 cited
  • 2025Employee Attrition Prediction Using Bayesian Optimized Stacked Ensemble Learning and Explainable AI25 cited
  • 2025Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review21 cited
  • 2024Employee Attrition Prediction using Machine Learning Models: A Review Paper21 cited
  • 2025Machine Learning Models for Predicting Employee Attrition: A Data Science Perspective20 cited