Study on the application of data visualization technology in human resource management and employee turnover prediction

Study on the application of data visualization technology in human resource management and employee turnover prediction

This paper presents a method to process the dataset of departing employees. The clustering categories of separated employees are accurately determined by fuzzy c-mean clustering and improved clustering FCM algorithm, and new samples of separated employees are generated using SMOTE algorithm to reduc...

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Bibliographic Details
Main Author: Ge Hongyu
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
employee separation prediction
mean clustering
fcm algorithm
smote algorithm
svm
91b44
Online Access:https://doi.org/10.2478/amns.2023.2.00820

Internet

https://doi.org/10.2478/amns.2023.2.00820

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