A Framework for Estimating Simplicity of Automatically Discovered Process Models Based on Structural and Behavioral Characteristics

Anna A. Kalenkova, Artem Polyvyanyy, Marcello La Rosa. A Framework for Estimating Simplicity of Automatically Discovered Process Models Based on Structural and Behavioral Characteristics. In Dirk Fahland, Chiara Ghidini, Jörg Becker 0001, Marlon Dumas, editors, Business Process Management - 18th International Conference, BPM 2020, Seville, Spain, September 13-18, 2020, Proceedings. Volume 12168 of Lecture Notes in Computer Science, pages 129-146, Springer, 2020. [doi]

@inproceedings{KalenkovaPR20,
  title = {A Framework for Estimating Simplicity of Automatically Discovered Process Models Based on Structural and Behavioral Characteristics},
  author = {Anna A. Kalenkova and Artem Polyvyanyy and Marcello La Rosa},
  year = {2020},
  doi = {10.1007/978-3-030-58666-9_8},
  url = {https://doi.org/10.1007/978-3-030-58666-9_8},
  researchr = {https://researchr.org/publication/KalenkovaPR20},
  cites = {0},
  citedby = {0},
  pages = {129-146},
  booktitle = {Business Process Management - 18th International Conference, BPM 2020, Seville, Spain, September 13-18, 2020, Proceedings},
  editor = {Dirk Fahland and Chiara Ghidini and Jörg Becker 0001 and Marlon Dumas},
  volume = {12168},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-58666-9},
}