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doi:10.22028/D291-34120
Title: | Business Process Intelligence Challenge 2020:Analysis and evaluation of a travel process |
Author(s): | Klein, Sabine Lahann, Johannes Mayer, Lea Neu, Dominic Alexander Pfeiffer, Peter Rebmann, Adrian Scheid, Martin Willems, Brian Fettke, Peter |
Editor(s): | Di Ciccio, Claudio Depaire, Benoît Weerdt, Jochen de Di Francescomarino, Chiara Munoz-Gama, Jorge |
Language: | English |
Title: | ICPM-D 2020: ICPM 2020 Doctoral Consortium and Tool Demonstration Track : proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020, co-located with the 2nd International Conference on Process Mining (ICPM 2020) : Padua, Italy, October 4-9, 2020 |
Startpage: | 1 |
Endpage: | 38 |
Publisher/Platform: | RWTH Aachen |
Year of Publication: | 2020 |
Place of publication: | Aachen |
Title of the Conference: | ICPM 2020 |
Place of the conference: | Padua, Italy |
Publikation type: | Conference Paper |
Abstract: | The 2020 Business Process Intelligence Challenge provides data from the travel management system of the Eindhoven University of Technology and encourages the participants to tackle several ques tions regarding qualitative and quantitative aspects of the process flow. In this report, we show our analysis of the log files beginning with a conceptual approach, which includes the manual creation of a baseline process using the given textual description and some basic data descrip tions. Based on this, we define our understanding of the log files, and the process followed by some basic descriptive analysis, which allows to get a deeper understanding of the process based on the data. This al lows us to answer some of the first questions, which mostly relate to the quantitative aspects of the travel process. Furthermore, we apply some more advanced process mining and data analytics techniques, such as process conformance checking, machine learning and techniques, which are provided by the newly implemented RMM4Py framework to deal with the other questions of the challenge. Using those methods, we also try to find further noticeable process behaviour, which is not covered by the provided questions. This is followed by an overview of our results and the discussion of limitations and further recommendations, wherever applicable. |
URL of the first publication: | https://icpmconference.org/2020/wp-content/uploads/sites/4/2020/10/ICPM_2020_paper_99.pdf |
Link to this record: | hdl:20.500.11880/31475 http://dx.doi.org/10.22028/D291-34120 |
Date of registration: | 6-Jul-2021 |
Notes: | CEUR workshop proceedings ; vol-2703 |
Faculty: | HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft |
Department: | HW - Wirtschaftswissenschaft |
Professorship: | HW - Prof. Dr. Peter Loos |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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