Employee Culling based on of Online Work Assessment through Machine Learning Algorithm
Keywords:
machine learning, employee culling, human resource management, KNN SVM
Abstract
Job analysis planning employee needs recruiting the appropriate people wages and salary management are the important theme of human resource management Human resource management also includes evaluating performance resolving problems and create communication with all employees at all levels On the other hand Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans So through these two sectors such as computation and business administration in this paper on employee culling based on work assessment by which machine learning algorithm such as KNN SVM The Decision tree can give the best result perfect employee We also focus on the accuracy that algorithm is performing We marked an employee through their experience language skills skills graduation etc we create e model by which we can get input through the companies and give them a perfect result through their requirement assessment and machine learning algorithm
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2019-10-15
Issue
Section
License
Copyright (c) 2019 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.