Sturm, Christian, Schönig, Stefan, Di Ciccio, Claudio. 2017. Distributed Multi-Perspective Declare Discovery. In Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), September 13, 2017, Hrsg. Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske, 1-5. Barcelona, Spain: CEUR Workshop Proceedings.
BibTeX
Abstract
Declarative process models define the behaviour of processes by means of constraints exerted over their activities. Multi-perspective declarative approaches extend the expressiveness of those constraints to include resources, time, and information artefacts. In this paper, we present a fast distributed approach and software prototype to discover multi-perspective declarative models out of event logs, based upon parallel computing. The demo is targeted at process mining researchers and practitioners, and describes the tool through its application on a use case, based on a publicly available real-life bench-mark.
Tags
Press 'enter' for creating the tagPublication's profile
| Status of publication | Published |
|---|---|
| Affiliation | WU |
| Type of publication | Contribution to conference proceedings |
| Language | English |
| Title | Distributed Multi-Perspective Declare Discovery |
| Title of whole publication | Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), September 13, 2017 |
| Editor | Robert Clarisó, Henrik Leopold, Jan Mendling, Wil M. P. van der Aalst, Akhil Kumar, Brian T. Pentland, Mathias Weske |
| Page from | 1 |
| Page to | 5 |
| Location | Barcelona, Spain |
| Publisher | CEUR Workshop Proceedings |
| Year | 2017 |
| URL | http://ceur-ws.org/Vol-1920/BPM_2017_paper_194.pdf |
Associations
- People
- Di Ciccio, Claudio (Former researcher)
- External
- Schönig, Stefan (University of Bayreuth, Germany)
- Sturm, Christian (University of Bayreuth, Germany)
- Organization
- Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
- Research areas (ÖSTAT Classification 'Statistik Austria')
- 1105 Computer software (Details)
- 1108 Informatics (Details)
- 1109 Information and data processing (Details)
- 1122 Artificial intelligence (Details)
- 5306 Business data processing (Details)
- 5367 Management information systems (Details)