Extensions to the bupaR Ecosystem: An Overview

Gert Janssenswillen; F. Mannhardt; Mathijs Creemers; Benoît Depaire; Mieke Jans; Leen Jooken; Niels Martin; Greg Van Houdt

Extensions to the bupaR Ecosystem: An Overview

Gert Janssenswillen, F. Mannhardt, Mathijs Creemers, Benoît Depaire, Mieke Jans, Leen Jooken, Niels Martin, Greg Van Houdt

Process Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020)
Publisher	CEUR-WS.org
Pages	43-46
Number of pages	4
Publication status	Published - 2020

Publication series

Name	CEUR Workshop Proceedings
Volume	2703
ISSN (Print)	1613-0073

Keywords

BupaR
Data quality
Knowledge management
R
process analytics

Access to Document

http://ceur-ws.org/Vol-2703/paperTD7.pdfLicence: CC BY

Cite this

Janssenswillen, G., Mannhardt, F., Creemers, M., Depaire, B., Jans, M., Jooken, L., Martin, N., & Van Houdt, G. (2020). Extensions to the bupaR Ecosystem: An Overview. In Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020) (pp. 43-46). (CEUR Workshop Proceedings; Vol. 2703). CEUR-WS.org. http://ceur-ws.org/Vol-2703/paperTD7.pdf

@inproceedings{6e15b9c40cd94915875cfe5235bf7aff,

title = "Extensions to the bupaR Ecosystem: An Overview",

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 = "BupaR, Data quality, Knowledge management, R, process analytics",

author = "Gert Janssenswillen and F. Mannhardt and Mathijs Creemers and Beno{\^i}t Depaire and Mieke Jans and Leen Jooken and Niels Martin and {Van Houdt}, Greg",

year = "2020",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS.org",

pages = "43--46",

booktitle = "Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020)",

}

Janssenswillen, G, Mannhardt, F, Creemers, M, Depaire, B, Jans, M, Jooken, L, Martin, N & Van Houdt, G 2020, Extensions to the bupaR Ecosystem: An Overview. in Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020). CEUR Workshop Proceedings, vol. 2703, CEUR-WS.org, pp. 43-46. <http://ceur-ws.org/Vol-2703/paperTD7.pdf>

Extensions to the bupaR Ecosystem: An Overview. / Janssenswillen, Gert; Mannhardt, F.; Creemers, Mathijs et al.

Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020). CEUR-WS.org, 2020. p. 43-46 (CEUR Workshop Proceedings; Vol. 2703).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Extensions to the bupaR Ecosystem: An Overview

AU - Janssenswillen, Gert

AU - Mannhardt, F.

AU - Creemers, Mathijs

AU - Depaire, Benoît

AU - Jans, Mieke

AU - Jooken, Leen

AU - Martin, Niels

AU - Van Houdt, Greg

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - BupaR

KW - Data quality

KW - Knowledge management

KW - R

KW - process analytics

UR - http://www.scopus.com/inward/record.url?scp=85094815796&partnerID=8YFLogxK

M3 - Conference contribution

T3 - CEUR Workshop Proceedings

SP - 43

EP - 46

BT - Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020)

PB - CEUR-WS.org

ER -

Extensions to the bupaR Ecosystem: An Overview

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

ICPM 2020 Best Academic Demo Tool Award

Cite this

Extensions to the bupaR Ecosystem: An Overview

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Prizes

ICPM 2020 Best Academic Demo Tool Award

Cite this