Quotation 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.


RIS


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.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
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 (Details)
Mendling, Jan (Details)
External
Jablonski, Stefan (University of Bayreuth, Germany)
Organization
Applied Information Technology with Focus on IT in Organization (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5367 Management information systems (Details)
Google Scholar: Search