Inproceedings,
Improving Accuracy and Explainability in Event-Case Correlation via Rule Mining.
D. Bayomie, K. Revoredo, C. Ciccio, and J. Mendling.ICPM, page 24-31. IEEE, (2022)
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- BibTeX key
- conf/icpm/BayomieRCM22
- entry type
- inproceedings
- booktitle
- ICPM
- year
- 2022
- pages
- 24-31
- publisher
- IEEE
- crossref
- conf/icpm/2022
- ee
- https://doi.org/10.1109/ICPM57379.2022.9980684
- isbn
- 979-8-3503-9714-7
- url
- http://dblp.uni-trier.de/db/conf/icpm/icpm2022.html#BayomieRCM22
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- please select -%0 Conference Paper
%1 conf/icpm/BayomieRCM22
%A Bayomie, Dina
%A Revoredo, Kate
%A Ciccio, Claudio Di
%A Mendling, Jan
%B ICPM
%D 2022
%E Burattin, Andrea
%E Polyvyanyy, Artem
%E Weber, Barbara
%I IEEE
%K dblp
%P 24-31
%T Improving Accuracy and Explainability in Event-Case Correlation via Rule Mining.
%U http://dblp.uni-trier.de/db/conf/icpm/icpm2022.html#BayomieRCM22
%@ 979-8-3503-9714-7
@inproceedings{conf/icpm/BayomieRCM22,
added-at = {2023-01-02T00:00:00.000+0100},
author = {Bayomie, Dina and Revoredo, Kate and Ciccio, Claudio Di and Mendling, Jan},
biburl = {https://www.bibsonomy.org/bibtex/2737c626c0484e684502ea45288e79ac3/dblp},
booktitle = {ICPM},
crossref = {conf/icpm/2022},
editor = {Burattin, Andrea and Polyvyanyy, Artem and Weber, Barbara},
ee = {https://doi.org/10.1109/ICPM57379.2022.9980684},
interhash = {cb31ed166b574a01383451362652a9e0},
intrahash = {737c626c0484e684502ea45288e79ac3},
isbn = {979-8-3503-9714-7},
keywords = {dblp},
pages = {24-31},
publisher = {IEEE},
timestamp = {2024-04-09T19:28:12.000+0200},
title = {Improving Accuracy and Explainability in Event-Case Correlation via Rule Mining.},
url = {http://dblp.uni-trier.de/db/conf/icpm/icpm2022.html#BayomieRCM22},
year = 2022
}