Random Forest-Based Retail Management To Improve The Recognition Rates Of Employees-Reference-Cited by-同舟云学术

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Random Forest-Based Retail Management To Improve The Recognition Rates Of Employees

Published:2023-11-01 Issue: Volume:4 Page:1-6
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
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Author:

Thyagharajan K K¹,Lalitha S D²,Madhavi N. Bindu³,Seal Sudeshna⁴,J Nithya Jenev⁵,Senthilnathan B.⁶

Affiliation:

1. R.M.D. Engineering College,Department of ECE,Kavaraipettai,Tamilnadu,India

2. R.M.K. Engineering College,Department of CSE,Kavaraipettai,Tamilnadu,India

3. Koneru Lakshmaiah Education Foundation,KL Centre for Distance & Online Education(CDOE),Vaddeswaram,Andhra Pradesh,India

4. OmDayal Group of Institutions,Uluberia,West Bengal,India

5. Veltech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College,Department of Electrical and Electronics Engineering,Chennai,India

6. Jansons Institute of Technology,Department of Mathematics,Coimbatore,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10369487.pdf?arnumber=10369487

Reference18 articles.

1. CoxRF: Employee Turnover Prediction Based on Survival Analysis

2. Precision education with statistical learning and deep learning: a case study in Taiwan

3. Research on Employee Turnover Prediction Based on Machine Learning Algorithms

4. A Machine Learning Approach for Employee Retention Prediction

5. Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming

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