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Efficient and Customisable Declarative Process Mining with SQL

Title data

Schönig, Stefan ; Rogge-Solti, Andreas ; Cabanillas, Cristina ; Jablonski, Stefan ; Mendling, Jan:
Efficient and Customisable Declarative Process Mining with SQL.
In: Nurcan, Selmin ; Soffer, Pnina (ed.): International Conference on Advanced Information Systems Engineering : 28th international conference, CAiSE 2016, Ljubljana, Slovenia, June 13-17, 2016: proceedings. - Cham, Switzerland : Springer , 2016 . - pp. 290-305 . - 1 Online-Ressource XXXIV, 592 S. . - (Lecture Notes in Computer Science ; 9694 )
ISBN 978-3-319-39696-5
DOI: https://doi.org/10.1007/978-3-319-39696-5_18

Official URL: Volltext

Abstract in another language

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 constaint types. Lately, RelationalXES, a relational data-base 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.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Declarative process mining; Relational databases; SQL
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 23 Oct 2017 12:06
Last Modified: 23 Oct 2017 12:06
URI: https://eref.uni-bayreuth.de/id/eprint/34079