Md Monir Ahammod Bin Atique1,#, Md Ilias Bappi1,#, Kwanghoon Choi1,*, Kyungbaek Kim1,*, Md Abul Ala Walid2, Pranta Kumar Sarkar3
Computer Systems Science and Engineering, Vol.49, pp. 455-479, 2025, DOI:10.32604/csse.2025.069213
- 19 August 2025
Abstract Employee turnover presents considerable challenges for organizations, leading to increased recruitment costs and disruptions in ongoing operations. High voluntary attrition rates can result in substantial financial losses, making it essential for Human Resource (HR) departments to prioritize turnover reduction. In this context, Artificial Intelligence (AI) has emerged as a vital tool in strengthening business strategies and people management. This paper incorporates two new representative features, introducing three types of feature engineering to enhance the analysis of employee turnover in the IBM HR Analytics dataset. Key Machine Learning (ML) techniques were subsequently employed in this work,… More >
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