OrdinoR : A framework for discovering, evaluating, and analyzing organizational models using event logs

Yang, Jing (Corresponding author); Ouyang, Chun; van der Aalst, Wil M. P.; ter Hofstede, Arthur H. M.; Yu, Yang

Amsterdam [u.a.] : Elsevier (2022)
Journal Article

In: Decision support systems : DSS
Volume: 158
Page(s)/Article-Nr.: 113771

Institutions

• Department of Computer Science [120000]
• The Learning Technologies Research Group [122420]
• Chair of Computer Science 9 (Process and Data Science) [122510]