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Faculty of Mathematics, Physics & Computer Science

Chair for Databases and Information Systems – Prof. Dr.-Ing. Stefan Jablonski

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Paper accepted at BPMDS 2022

The paper "Deviance Analysis by Means of Redescription Mining" authored by Martin Käppel, Engjell Ahmeti, and Stefan Jablonski has been accepted for presentation and publication at the 23nd Edition of Business Process Modeling, Development and Support working conference (BPMDS22). Below you can find the abstract of the paper.

Deviance Analysis by Means of Redescription Mining

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.

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