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ANALYZING EMPLOYEE ATTRITION USING DECISION TREE ALGORITHMS
4 references·12 citing·47 second hop
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(1997)Firm resources and sustained competitive advantage (2004)Building a Data Warehouse (2008)Knowledge Discovery Techniques For Talent Forecasting In Human Resource Application (2009)A fuzzy expert system (FES) tool for online personnel recruitments (2010)Analyzing The Employee Turnover by Using Decision Tree Algorithm (2023)Employee Turnover: A Meta-Analysis and Review with Implications for Research (1986)Turnover: The Real Bottom Line (2000)Employee churn prediction (2010)Machine Learning for Predicting Employee Attrition (2021)Employee attrition prediction in a pharmaceutical company using both machine learning approach and qualitative data (2022)Enhancing the Prediction of Employee Turnover With Knowledge Graphs and Explainable AI (2024)One More Time: How Do You Motivate Employees? (1976)A longitudinal test of the investment model: The impact on job satisfaction, job commitment, and turnover of variations in rewards, costs, alternatives, and investments. (1983)Developing management skills (2005)Retention is All You Need (2023)Unboxing the mystery: employee churn in the retail industry using machine learning approach (2024)Toward a Theory of Stakeholder Identification and Salience: Defining the Principle of Who and What Really Counts (1997)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)The global landscape of AI ethics guidelines (2019)Artificial intelligence (AI)-augmented knowledge management capability and clinical performance: implications for marketing strategies in health-care sector (2024)Artificial intelligence and performance management (2024)How and when AI-driven HRM promotes employee resilience and adaptive performance: A self-determination theory (2025)A Formula for the Gini Coefficient (1979)Prediction of Employee Turnover in Organizations using Machine Learning Algorithms (2016)Predicting Employee Attrition Using Machine Learning Techniques (2020)Convolutional Neural Network and Capsule Network Fusion for Effective Attrition Classification (2023)Employee Retention Analytics: Predictive Modeling for Workforce Stability and Talent Management (2025)A review of the literature on employee turnover (2007)A Deep Learning Model Based on Bidirectional Temporal Convolutional Network (Bi-TCN) for Predicting Employee Attrition (2025)Predicting Employee Attrition: XAI-Powered Models for Managerial Decision-Making (2025)EFFECTS OF HUMAN RESOURCE SYSTEMS ON MANUFACTURING PERFORMANCE AND TURNOVER. (1994)Understanding Human Resource Management in the Context of Organizations and Their Environments (1995)Artificial intelligence, firm growth, and product innovation (2023)Talent Management and Generation Alpha (2025)Retention of Key Talent and the Role of Rewards (2012)Total Rewards and Retention: Case Study of Higher Education Institutions in Pakistan (2015)Supportive supervisor to curtail turnover intentions: do employee engagement and work–life balance play any role? (2020)Turning telecommunications call details to churn prediction: a data mining approach (2002)Applying data mining to telecom churn management (2005)Application of data mining techniques in customer relationship management: A literature review and classification (2008)
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References

  • 1999Building Data Mining Applications for CRM599 cited
  • 1991Career Orientations of MIS Employees: An Empirical Analysis375 cited
  • 2008Retaining talent : a guide to analyzing and managing employee turnover103 cited
  • 2008Data mining techniques for better decisions in human resource management systems82 cited

Cited by

  • 2021Employee Attrition Estimation Using Random Forest Algorithm67 cited
  • 2022Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms59 cited
  • 2022A Comparison of Machine Learning Approaches for Predicting Employee Attrition59 cited
  • 2022A multi-stakeholder ethical framework for AI-augmented HRM57 cited
  • 2025A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics57 cited
  • 2017Employee Attrition Analysis Using Predictive Techniques50 cited
  • 2023Potential of Artificial Intelligence in Boosting Employee Retention in the Human Resource Industry49 cited
  • 2020Recruitment Prediction using Machine Learning42 cited
  • 2025Predicting employee attrition and explaining its determinants40 cited
  • 2020Employee's Attrition Prediction Using Machine Learning Approaches37 cited
  • 2021

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Review prognosis system to predict employees job satisfaction using deep neural network
33 cited
  • 2015Predicting Churn of Expert Respondents in Social Networks Using Data Mining Techniques: A Case Study of Stack Overflow13 cited