Enhancement of New Random Forest Algorithm to Predict the Employee Attrition Rate

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Enterprise Network Management
Published
2025-12-30
DOI
https://doi.org/10.1504/ijenm.2026.10075445
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancement of New Random Forest Algorithm to Predict the Employee Attrition Rate

Vijaya Prabhagar Murugesan, Rukma Ramachandran, Vimal Babu
International Journal of Enterprise Network Management
AI and HR Technologies
article

Enhancement of New Random Forest Algorithm to Predict the Employee Attrition Rate

Vijaya Prabhagar Murugesan, Rukma Ramachandran, Vimal Babu
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Enterprise Network ManagementVol. 17(1)
Life in Land, Responsible consumption and production
Openalex Percentile: Top 24%
AI and HR Technologies
DOISourceOpenAlex
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Enhancement of New Random Forest Algorithm to Predict the Employee Attrition Rate — Vijaya Prabhagar Murugesan, Rukma Ramachandran, et al. · International Journal of Enterprise Network Management (2025) | TGRS Research Map | TGRS