文献
J-GLOBAL ID:202102273383837064
整理番号:21A1524231
健康管理ビッグデータのためのソフトウェア欠陥予測:機械学習技術の経験的評価【JST・京大機械翻訳】
Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques
著者 (7件):
Khan Bilal
(Department of Computer Science, City University of Science and Information Technology, Peshawar 25000, Pakistan)
,
Naseem Rashid
(Department of IT and Computer Science, Pak-Austria Fachhochschule Institute of Applied Sciences and Technology, Haripur, Pakistan)
,
Shah Muhammad Arif
(Department of IT and Computer Science, Pak-Austria Fachhochschule Institute of Applied Sciences and Technology, Haripur, Pakistan)
,
Wakil Karzan
(Research Center, Sulaimani Polytechnic University, Sulimani 46001, Kurdistan Region, Iraq)
,
Khan Atif
(Department of Computer Science, Islamia College, Peshawar 2500, Pakistan)
,
Uddin M. Irfan
(Institute of Computing Kohat University of Science and Technology, Kohat, Pakistan)
,
Mahmoud Marwan
(Faculty of Applied Studies, King Abdulaziz University, Jeddah, Saudi Arabia)
資料名:
Journal of Healthcare Engineering (Web)
(Journal of Healthcare Engineering (Web))
巻:
2021
ページ:
Null
発行年:
2021年
JST資料番号:
U7772A
ISSN:
2040-2295
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)