Schönig, Stefan, Solti, Andreas, Cabanillas Macias, Cristina, Jablonski, Stefan, Mendling, Jan. 2016. Efficient and Customisable Declarative Process Mining with SQL. In 28th International Conference on Advanced Information Systems Engineering (CAiSE), Hrsg. Selmin Nurcan, Pnina Soffer, Marko Bajec, Johann Eder, 290-305. Ljubljana, Slovenia: Springer International Publishing.
BibTeX
Abstract
Flexible business processes can often be modelled more easily using a declarative rather than a procedural modelling approach. Process mining aims at automating the discovery of business process models. Existing declarative process mining approaches either suffer from performance issues with real-life event logs or limit their expressiveness to a specific set of constraint types. Lately, RelationalXES, a relational database architecture for storing event log data, has been introduced. In this paper, we introduce a mining approach that directly works on relational event data by querying the log with conventional SQL. By leveraging database performance technology, the mining procedure is fast without limiting itself to detecting certain control-flow constraints. Queries can be customised and cover process perspectives beyond control flow, e.g., organisational aspects. We evaluated the performance and the capabilities of our approach with regard to several real-life event logs.
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Status of publication | Published |
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Affiliation | WU |
Type of publication | Contribution to conference proceedings |
Language | English |
Title | Efficient and Customisable Declarative Process Mining with SQL |
Title of whole publication | 28th International Conference on Advanced Information Systems Engineering (CAiSE) |
Editor | Selmin Nurcan, Pnina Soffer, Marko Bajec, Johann Eder |
Page from | 290 |
Page to | 305 |
Location | Ljubljana, Slovenia |
Publisher | Springer International Publishing |
Year | 2016 |
URL | http://link.springer.com/chapter/10.1007/978-3-319-39696-5_18 |
Open Access | N |
Associations
- Projects
- Sensor-Enabled Real-World Awareness for Management Information Systems
- Safety-critical Human- and dAta-centric Process management in Engineering projects (SHAPE)
- People
- Schönig, Stefan (Former researcher)
- Solti, Andreas (Former researcher)
- Cabanillas Macias, Cristina (Former researcher)
- Mendling, Jan (Details)
- External
- Jablonski, Stefan (University of Bayreuth, Germany)
- Organization
- Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
- Research areas (ÖSTAT Classification 'Statistik Austria')
- 5367 Management information systems (Details)