Art

J-GLOBAL ID：202302264561087721   Reference number：23A1927784

Predicting Employee Attrition Using Machine Learning Approaches

機械学習アプローチを用いた従業員アトリエーションの予測【JST・京大機械翻訳】

Author (5)： Raza Ali (Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan) ,  Munir Kashif (Faculty of Computer Science and IT, Khawaja Fareed University of Engineering & IT, Rahim Yar Khan 64200, Pakistan) ,  Almutairi Mubarak (College of Computer Science and Engineering, University of Hafr Al Batin, Hafr Alabtin 31991, Saudi Arabia) ,  Younas Faizan (Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan) ,  Fareed Mian Muhammad Sadiq (Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan)
Material： Applied Sciences (Web)
Volume： 12  Issue： 13  Page： 6424  Publication year： 2022 
JST Material Number： U7135A  ISSN： 2076-3417  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Employee attrition refers to t...

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Thesaurus term： optimization ,  wear ,  *learning ,  technology ,  accuracy ,  *worker ,  thromboplastin ,  turnover ,  *machine learning ,  resource management ,  framework
Semi thesaurus term： *従業員 ,  分類会計機 ,  機械学習技術 , 【Automatic Indexing@JST】

Author keywords (6)： employee attrition ,  employee turnover ,  machine learning ,  attrition rate ,  organization analysis ,  employee attrition causes

JST classification (1)： Artificial intelligence  (JE08000Z)

Reference (32)：

• Peng, B. Statistical analysis of employee retention. In Proceedings of the International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), Nanjing, China, 26-28 November 2021; Volume 12163, pp. 7-15.
• 19 Employee Retention Statistics That Will Surprise You. 2022. Available online: https://www.apollotechnical.com/employee-retention-statistics/ (accessed on 6 May 2022). Here’s What Your Turnover and Retention Rates Should Look Like. Available online: https://www.ceridian.com/blog/turnover-and-retention-rates-benchmark (accessed on 6 May 2022). SHRM Survey: Average Cost Per Hire Is $4129. Available online: https://www.businessmanagementdaily.com/46997/shrm-survey-average-cost-per-hire-is-4129/ (accessed on 6 May 2022).
• Gandomi, A.H.; Chen, F.; Abualigah, L. Machine Learning Technologies for Big Data Analytics. Electronics 2022, 11, 421.
• Jia, X.; Cao, Y.; O’Connor, D.; Zhu, J.; Tsang, D.C.W.; Zou, B.; Hou, D. Mapping soil pollution by using drone image recognition and machine learning at an arsenic-contaminated agricultural field. Environ. Pollut. 2021, 270, 116281.
• Reshma Ramchandra, N.; Rajabhushanam, C. Machine learning algorithms performance evaluation in traffic flow prediction. Mater. Today Proc. 2022, 51, 1046-1050.

Terms in the title (3)： 機械学習 ,  従業員 ,  予測