文献
J-GLOBAL ID:202002229175723317
整理番号:20A2032116
イベントログ品質の向上:タイムスタンプ不完全性の検出と定量化【JST・京大機械翻訳】
Enhancing Event Log Quality: Detecting and Quantifying Timestamp Imperfections
著者 (6件):
Fischer Dominik Andreas
(FIM Research Center, Project Group Business and Information Systems Engineering of the Fraunhofer FIT, University of Bayreuth, Bayreuth, Germany)
,
Goel Kanika
(Queensland University of Technology, Brisbane, Australia)
,
Andrews Robert
(Queensland University of Technology, Brisbane, Australia)
,
van Dun Christopher Gerhard Johannes
(FIM Research Center, Project Group Business and Information Systems Engineering of the Fraunhofer FIT, University of Bayreuth, Bayreuth, Germany)
,
Wynn Moe Thandar
(Queensland University of Technology, Brisbane, Australia)
,
Roglinger Maximilian
(FIM Research Center, Project Group Business and Information Systems Engineering of the Fraunhofer FIT, University of Bayreuth, Bayreuth, Germany)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
12168
ページ:
309-326
発行年:
2020年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)