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

Files in This Item:
File Description SizeFormat 
117_cr.pdfPublished version414.15 kBAdobe PDFView/Open
Show full item record

Page view(s)

66
checked on Jun 9, 2022

Download(s)

54
checked on Jun 9, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.