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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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