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Using Image Mining Techniques from a Business Process Perspective

Titelangaben

Fichtner, Myriel ; Schönig, Stefan ; Jablonski, Stefan:
Using Image Mining Techniques from a Business Process Perspective.
In: Filipe, Joaquim ; Śmiałek, Michał ; Brodsky, Alexander ; Hammoudi, Slimane (Hrsg.): Enterprise Information Systems : 22nd International Conference, ICEIS 2020, Virtual Event, May 5–7, 2020 ; Revised Selected Papers. - Cham : Springer International Publishing , 2021 . - (Lecture Notes in Business Information Processing ; 417 )
ISBN 978-3-030-75417-4
DOI: https://doi.org/10.1007/978-3-030-75418-1_4

Abstract

Business process modeling is an established method to improve business procedures and to provide more insights into internal workflows. Once the process is visualized in a business process model, future process executions correspond to the workflow prescribed by the process model. Process details like input specifications or the order of internal sub-steps are only considered during process execution if contained in the process model. These details may be decisive since they can have an impact on the success of the overall process. In some cases, such important process details are not modeled due to different aspects, like modeling with a high degree of abstraction to preserve the traceability. Nevertheless, it is necessary to identify missing but essential process details that reduce the success rate of a process. In this paper, we present a conceptual approach to use image mining techniques in order to analyze and extract process details from image data recorded during process executions. We propose to redesign business process models considering the analysis results to ensure successful process executions. We discuss different requirements regarding the image analysis output and present an exemplary prototype.

Weitere Angaben

Publikationsform: Aufsatz in einem Buch
Begutachteter Beitrag: Ja
Keywords: Image mining; Process model enhancement; Process model extension; Process detail identification; Quality control; Recommendation system; Process redesign
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV > Lehrstuhl Angewandte Informatik IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IV
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
500 Naturwissenschaften und Mathematik > 500 Naturwissenschaften
Eingestellt am: 05 Mai 2021 09:12
Letzte Änderung: 05 Mai 2021 09:12
URI: https://eref.uni-bayreuth.de/id/eprint/65096