Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33075
Title: Extensions to the bupaR ecosystem: An overview
Authors: JANSSENSWILLEN, Gert 
Mannhardt, Felix
CREEMERS, Mathijs 
DEPAIRE, Benoit 
JANS, Mieke 
JOOKEN, Leen 
MARTIN, Niels 
VAN HOUDT, Greg 
Issue Date: 2020
Source: CEUR WORKSHOP PROCEEDINGS (Ed.). Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), p. 43 -46
Series/Report: CEUR WORKSHOP PROCEEDINGS
Abstract: Over the past few year, bupaR-the open-source R-ecosystem for process analysis-has seen a considerable increase in functionalities and users. It has been one of the first successful tools for script-based process analytics, and can currently be seen as the state-of-the-art tool for process analysis in R and an important player in the open-source process mining tool landscape. With a user-base consisting largely of professional process analysts, the ecosystem has helped to increase the adoption of process mining in a broad range of fields. In this demonstration, we highlight recent extensions to the ecosystem that will further increase its usefulness for practitioners during their process mining projects.
Keywords: Index Terms-bupaR;R;process analytics;data quality;knowl- edge management
Document URI: http://hdl.handle.net/1942/33075
Link to publication/dataset: http://ceur-ws.org/Vol-2703/paperTD7.pdf
Rights: 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
Category: C1
Type: Proceedings Paper
Validations: vabb 2022
Appears in Collections:Research publications

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