%0 Conference Paper %1 conf/er/BayomieCRM19 %A Bayomie, Dina %A Ciccio, Claudio Di %A Rosa, Marcello La %A Mendling, Jan %B ER %D 2019 %E Laender, Alberto H. F. %E Pernici, Barbara %E Lim, Ee-Peng %E de Oliveira, José Palazzo M. %I Springer %K dblp %P 136-152 %T A Probabilistic Approach to Event-Case Correlation for Process Mining. %U http://dblp.uni-trier.de/db/conf/er/er2019.html#BayomieCRM19 %V 11788 %@ 978-3-030-33223-5

@inproceedings{conf/er/BayomieCRM19, added-at = {2019-11-07T00:00:00.000+0100}, author = {Bayomie, Dina and Ciccio, Claudio Di and Rosa, Marcello La and Mendling, Jan}, biburl = {https://www.bibsonomy.org/bibtex/2e90fe40cac73ea0f4005f5483f023503/dblp}, booktitle = {ER}, crossref = {conf/er/2019}, editor = {Laender, Alberto H. F. and Pernici, Barbara and Lim, Ee-Peng and de Oliveira, José Palazzo M.}, ee = {https://doi.org/10.1007/978-3-030-33223-5_12}, interhash = {5410186931ad4f1e201600a0c85d9363}, intrahash = {e90fe40cac73ea0f4005f5483f023503}, isbn = {978-3-030-33223-5}, keywords = {dblp}, pages = {136-152}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2019-11-08T11:52:58.000+0100}, title = {A Probabilistic Approach to Event-Case Correlation for Process Mining.}, url = {http://dblp.uni-trier.de/db/conf/er/er2019.html#BayomieCRM19}, volume = 11788, year = 2019 }