%0 Journal Article %1 journals/dss/YangOAHY22 %A Yang, Jing %A Ouyang, Chun %A van der Aalst, Wil M. P. %A ter Hofstede, Arthur H. M. %A Yu, Yang %D 2022 %J Decis. Support Syst. %K dblp %P 113771 %T OrdinoR: A framework for discovering, evaluating, and analyzing organizational models using event logs. %U http://dblp.uni-trier.de/db/journals/dss/dss158.html#YangOAHY22 %V 158

@article{journals/dss/YangOAHY22, added-at = {2023-11-17T00:00:00.000+0100}, author = {Yang, Jing and Ouyang, Chun and van der Aalst, Wil M. P. and ter Hofstede, Arthur H. M. and Yu, Yang}, biburl = {https://www.bibsonomy.org/bibtex/275ab764605789bc31e8446bfdb588688/dblp}, ee = {https://doi.org/10.1016/j.dss.2022.113771}, interhash = {d461b4e2b6225cce5687ffe7877dedd7}, intrahash = {75ab764605789bc31e8446bfdb588688}, journal = {Decis. Support Syst.}, keywords = {dblp}, pages = 113771, timestamp = {2024-04-08T09:45:01.000+0200}, title = {OrdinoR: A framework for discovering, evaluating, and analyzing organizational models using event logs.}, url = {http://dblp.uni-trier.de/db/journals/dss/dss158.html#YangOAHY22}, volume = 158, year = 2022 }