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Deviance Analysis by Means of Redescription Mining

Title data

Käppel, Martin ; Ahmeti, Engjëll ; Jablonski, Stefan:
Deviance Analysis by Means of Redescription Mining.
In: Augusto, Adriano ; Gill, Asif ; Bork, Dominik ; Nurcan, Selmin ; Reinhartz-Berger, Iris ; Schmidt, Rainer (ed.): Enterprise, Business-Process and Information Systems Modeling : 23rd International Conference, BPMDS 2022 and 27th International Conference, EMMSAD 2022, Proceedings. - Cham : Springer , 2022 . - pp. 91-107 . - (Lecture Notes in Business Information Processing ; 450 )
ISBN 978-3-031-07475-2
DOI: https://doi.org/10.1007/978-3-031-07475-2_7

Official URL: Volltext

Abstract in another language

Often business processes deviate in a positive or negative way from their expected or desired behavior. Deviance mining aims at detecting deviant process executions and at revealing their causes. In this paper we propose a novel approach for identifying the causes of a deviant process execution based on redescription mining, which extracts knowledge in form of logical rules. By analyzing, combining, and filtering these rules we identify the reasons for the deviating behavior of a business process in general as well as of particular process instances. Afterwards the results of this analysis are transformed into an understandable and well-readable natural language text that can be taken by business analysts and process owners to optimize processes in a reasoned manner.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Deviance Mining; Redescription Mining; Process Mining; Natural Language Generation
Institutions of the University: 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
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 > Faculty of Engineering Science > Chair Manufacturing and Remanufacturing Technology > Chair Manufacturing and Remanufacturing Technology - Univ.-Prof. Dr.-Ing. Frank Döpper
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works
000 Computer Science, information, general works > 004 Computer science
Date Deposited: 02 Jun 2022 10:04
Last Modified: 21 Jun 2022 05:20
URI: https://eref.uni-bayreuth.de/id/eprint/69912