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A tour in process mining: from practice to algorithmic challenges

Author
Van der Aalst, W.; Carmona, J.; Chatain, T.; Dongen, B.
Type of activity
Journal article
Journal
Transactions on petri nets and other models of concurrency
Date of publication
2019-11-01
Volume
14
First page
1
Last page
35
DOI
10.1007/978-3-662-60651-3_1
Project funding
Graph-based Models and Methods for Computing in the Large
Repository
http://hdl.handle.net/2117/178313 Open in new window
URL
https://link.springer.com/chapter/10.1007/978-3-662-60651-3_1 Open in new window
Abstract
Process mining seeks the confrontation between modeled behavior and observed behavior. In recent years, process mining techniques managed to bridge the gap between traditional model-based process analysis (e.g., simulation and other business process management techniques) and data-centric analysis techniques such as machine learning and data mining. Process mining is used by many data-driven organizations as a means to improve performance or to ensure compliance. Traditionally, the focus was on ...
Citation
Van der Aalst, W. [et al.]. A tour in process mining: from practice to algorithmic challenges. "Transactions on petri nets and other models of concurrency", 1 Novembre 2019, vol. 14, p. 1-35.
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods

Participants

  • Van der Aalst, Wil M.P.  (author)
  • Carmona Vargas, Jose  (author)
  • Chatain, Thomas  (author)
  • Dongen, Boudewijn F. van  (author)

Attachments