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%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
}
