How Much Event Data Is Enough? A Statistical Framework for Process Discovery (bibtex)
by Martin Bauer, Arik Senderovich, Avigdor Gal, Lars Grunske, and Matthias Weidlich
Reference:
How Much Event Data Is Enough? A Statistical Framework for Process Discovery (Martin Bauer, Arik Senderovich, Avigdor Gal, Lars Grunske, and Matthias Weidlich), In Advanced Information Systems Engineering - 30th International Conference, CAiSE 2018, Tallinn, Estonia, June 11-15, 2018, Proceedings (John Krogstie, Hajo A. Reijers, eds.), Springer, volume 10816, 2018.
Bibtex Entry:
@inproceedings{DBLP:conf/caise/BauerSGGW18,
  author    = {Martin Bauer and
               Arik Senderovich and
               Avigdor Gal and
               Lars Grunske and
               Matthias Weidlich},
  editor    = {John Krogstie and
               Hajo A. Reijers},
  title     = {How Much Event Data Is Enough? {A} Statistical Framework for Process
               Discovery},
  booktitle = {Advanced Information Systems Engineering - 30th International Conference,
               CAiSE 2018, Tallinn, Estonia, June 11-15, 2018, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {10816},
  pages     = {239--256},
  publisher = {Springer},
  year      = {2018},
  url       = {https://doi.org/10.1007/978-3-319-91563-0\_15},
  doi       = {10.1007/978-3-319-91563-0\_15},
  timestamp = {Sun, 25 Jul 2021 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/conf/caise/BauerSGGW18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  pdf       = {https://www.informatik.hu-berlin.de/%7eweidlima/pubs/bauer_caise_2018_statistical_process_discovery.pdf}
}