文献
J-GLOBAL ID:202302264561087721
整理番号:23A1927784
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】
Predicting Employee Attrition Using Machine Learning Approaches
著者 (5件):
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)
資料名:
Applied Sciences (Web)
(Applied Sciences (Web))
巻:
12
号:
13
ページ:
6424
発行年:
2022年
JST資料番号:
U7135A
ISSN:
2076-3417
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)