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Employee Attrition Prediction Using Machine Learning Algorithms
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Employee Attrition Prediction Using Machine Learning Algorithms (2021)Employee Attrition Prediction Using Machi…Mirror, Mirror on the Wall, Who Is Leaving of Them All: Predictions for Employee Turnover with Gated Recurrent Neural Networks (2019)Mirror, Mirror on the Wall, W…An Improved Random Forest Algorithm for Predicting Employee Turnover (2019)An Improved Random Forest Alg…Employee Turnover Prediction with Machine Learning: A Reliable Approach (2018)Employee Turnover Prediction …Employee Attrition Prediction (2018)Employee Attrition PredictionPrediction of Employee Turnover in Organizations using Machine Learning Algorithms (2016)Prediction of Employee Turnov…Error management culture and turnover intent among food and beverage employees in deluxe hotels: the mediating effect of job satisfaction (2016)Error management culture and …A data mining approach to employee turnover prediction (case study: Arak automotive parts manufacturing) (2015)A data mining approach to emp…Human Talent Prediction in HRM using C4.5 Classification Algorithm (2010)Human Talent Prediction in HR…Establishing a link between employee turnover and withdrawal behaviours: application of data mining techniques (2008)Establishing a link between e…Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)5 Turnover and Retention Research: A Glance at the Past, a Closer Review of the Present, and a Venture into the Future (2008)Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming (2020)A machine learning-based analytical framework for employee turnover prediction (2021)Retention is All You Need (2023)Data mining techniques for customer relationship management (2002)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry (2006)Application of Data Mining Classification in Employee Performance Prediction (2016)A Comparative Study of Employee Churn Prediction Model (2018)May the bots be with you! 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(2003)Professional Satisfaction as a Key Factor in Employee Retention: A case of the Service Sector (2020)The mediating role of organizational learning capability and resilience in the error management culture-service innovation link and the contingent effect of error frequency (2022)Organizational Error Tolerance and Change-Oriented Organizational Citizenship Behavior: Mediating Role of Psychological Empowerment and Moderating Role of Public Service Motivation (2023)Turnover Intentions of the Faculty at a Teaching-Focused University (2006)When Employees Are Out of Step with Coworkers: How Job Satisfaction Trajectory and Dispersion Influence Individual- and Unit-Level Voluntary Turnover (2012)Predicting Employee Attrition using Supervised Learning Classification Models (2021)An Explainable Machine Learning-Based Employee Attrition Predictive System (2025)An integrated model to evaluate the transparency in predicting employee churn using explainable artificial intelligence (2025)Labour turnover in London hotels and the cost effectiveness of preventative measures (1992)WHY PEOPLE STAY: USING JOB EMBEDDEDNESS TO PREDICT VOLUNTARY TURNOVER. (2001)A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning (2020)Risk prediction and early warning for air traffic controllers’ unsafe acts using association rule mining and random forest (2020)An Alternative Approach: The Unfolding Model of Voluntary Employee Turnover (1994)One hundred years of employee turnover theory and research. (2017)The prediction of turnover intention by means of employee engagement and demographic variables in a telecommunications organisation (2014)Machine Learning Based Predictive Model for Risk Assessment of Employee Attrition (2018)Assessing Employee Attrition Using Classifications Algorithms (2020)A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective (2021)From Big Data to Deep Data to Support People Analytics for Employee Attrition Prediction (2021)Responsible artificial intelligence in human resources management: a review of the empirical literature (2023)
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References

  • 2016Prediction of Employee Turnover in Organizations using Machine Learning Algorithms243 cited
  • 2018Employee Turnover Prediction with Machine Learning: A Reliable Approach170 cited
  • 2019An Improved Random Forest Algorithm for Predicting Employee Turnover142 cited
  • 2010Human Talent Prediction in HRM using C4.5 Classification Algorithm95 cited
  • 2015A data mining approach to employee turnover prediction (case study: Arak automotive parts manufacturing)56 cited
  • 2008Establishing a link between employee turnover and withdrawal behaviours: application of data mining techniques48 cited
  • 2016Error management culture and turnover intent among food and beverage employees in deluxe hotels: the mediating effect of job satisfaction34 cited
  • 2018Employee Attrition Prediction27 cited
  • 2019Mirror, Mirror on the Wall, Who Is Leaving of Them All: Predictions for Employee Turnover with Gated Recurrent Neural Networks20 cited

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