at Google ScholarTitle 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
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.