Loading...
Loading...

Go to the content (press return)

Incorporating negative information in process discovery

Author
Ponce de León, H.; Carmona, J.; vanden Broucke, S.K.L.M.
Type of activity
Presentation of work at congresses
Name of edition
13th International Conference on Business Process Management
Date of publication
2015
Presentation's date
2015-09
Book of congress proceedings
Business Process Management: 13th International Conference, BPM 2015, Innsbruck, Austria, August 31-September 3, 2015: proceedings
First page
126
Last page
143
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-319-23063-4_8 Open in new window
Repository
http://hdl.handle.net/2117/87175 Open in new window
URL
http://link.springer.com/chapter/10.1007%2F978-3-319-23063-4_8 Open in new window
Abstract
The discovery of a formal process model from event logs describing real process executions is a challenging problem that has been studied from several angles. Most of the contributions consider the extraction of a model as a semi-supervised problem where only positive information is available. In this paper we present a fresh look at process discovery where also negative information can be taken into account. This feature may be crucial for deriving process models which are not only simple, fitt...
Citation
Ponce de León, H., Carmona, J., vanden Broucke, S.K.L.M. Incorporating negative information in process discovery. A: International Conference on Business Process Management. "Business Process Management: 13th International Conference, BPM 2015, Innsbruck, Austria, August 31-September 3, 2015: proceedings". Innsbruck: Springer, 2015, p. 126-143.
Keywords
Computability, Data mining, Numerical analysis
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods

Participants

  • Ponce de León, Hernán  (author and speaker )
  • Carmona Vargas, Jose  (author and speaker )
  • vanden Broucke, Seppe  (author and speaker )

Attachments