Visual Representation of Resource Analysis Insights for Process Mining

Alana Hoogmoed; Maxim Vidgof; Djordje Djurica; Christoffer Rubensson; Jan Mendling

doi:10.1007/978-3-031-61007-3_10

Visual Representation of Resource Analysis Insights for Process Mining

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Abstract

Resource analysis is an area of process mining concerned with the behavior and performance of resources within business processes. Recent contributions in this field have predominantly focused on gaining specific insights, less so on their visual representation. In this paper, we propose a resource analytics technique that focuses on effective visualization of the analysis. Our technique allows us to analyze the allocation and performance of single resource units and roles within a business process. We evaluate our technique using a prototypical implementation.

Original language	English
Title of host publication	Enterprise, Business-Process and Information Systems Modeling
Subtitle of host publication	25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings
Editors	Han van der Aa, Dominik Bork, Rainer Schmidt, Arnon Sturm
Place of Publication	Cham
Publisher	Springer Nature
Pages	117-128
Number of pages	12
Edition	1.
ISBN (Electronic)	9783031610073
ISBN (Print)	9783031610066, 9783031610080
DOIs	https://doi.org/10.1007/978-3-031-61007-3_10 https://doi.org/10.1007/978-3-031-61007-3_10
Publication status	Published - 2024
Event	25th International Working Conference on Business Process Modeling, Development, and Support, BPMDS 2024 and 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024 - Limassol, Cyprus Duration: 3 Jun 2024 → 4 Jun 2024

Publication series

Series	Lecture Notes in Business Information Processing
Volume	511 LNBIP
ISSN	1865-1348

Conference

Conference	25th International Working Conference on Business Process Modeling, Development, and Support, BPMDS 2024 and 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024
Country/Territory	Cyprus
City	Limassol
Period	3/06/24 → 4/06/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Performance analysis
Process mining
Resource analysis
Visual analytics

Access to Document

Cite this

Hoogmoed, A., Vidgof, M., Djurica, D., Rubensson, C., & Mendling, J. (2024). Visual Representation of Resource Analysis Insights for Process Mining. In H. van der Aa, D. Bork, R. Schmidt, & A. Sturm (Eds.), Enterprise, Business-Process and Information Systems Modeling: 25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings (1. ed., pp. 117-128). Springer Nature. https://doi.org/10.1007/978-3-031-61007-3_10, https://doi.org/10.1007/978-3-031-61007-3_10

Hoogmoed, Alana ; Vidgof, Maxim ; Djurica, Djordje et al. / Visual Representation of Resource Analysis Insights for Process Mining. Enterprise, Business-Process and Information Systems Modeling: 25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings. editor / Han van der Aa ; Dominik Bork ; Rainer Schmidt ; Arnon Sturm. 1. ed. Cham : Springer Nature, 2024. pp. 117-128 (Lecture Notes in Business Information Processing, Vol. 511 LNBIP).

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Hoogmoed, A , Vidgof, M , Djurica, D, Rubensson, C & Mendling, J 2024, Visual Representation of Resource Analysis Insights for Process Mining. in H van der Aa, D Bork, R Schmidt & A Sturm (eds), Enterprise, Business-Process and Information Systems Modeling: 25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings. 1. edn, Springer Nature, Cham, Lecture Notes in Business Information Processing, vol. 511 LNBIP, pp. 117-128, 25th International Working Conference on Business Process Modeling, Development, and Support, BPMDS 2024 and 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2024, Limassol, Cyprus, 3/06/24. https://doi.org/10.1007/978-3-031-61007-3_10, https://doi.org/10.1007/978-3-031-61007-3_10

Visual Representation of Resource Analysis Insights for Process Mining. / Hoogmoed, Alana ; Vidgof, Maxim ; Djurica, Djordje et al.
Enterprise, Business-Process and Information Systems Modeling: 25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings. ed. / Han van der Aa; Dominik Bork; Rainer Schmidt; Arnon Sturm. 1. ed. Cham: Springer Nature, 2024. p. 117-128 (Lecture Notes in Business Information Processing, Vol. 511 LNBIP).

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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Hoogmoed A , Vidgof M , Djurica D, Rubensson C, Mendling J. Visual Representation of Resource Analysis Insights for Process Mining. In van der Aa H, Bork D, Schmidt R, Sturm A, editors, Enterprise, Business-Process and Information Systems Modeling: 25th International Conference BPMDS 2024 and 29th International Conference EMMSAD 2024 Limassol, Cyprus, June 3–4, 2024, Proceedings. 1. ed. Cham: Springer Nature. 2024. p. 117-128. (Lecture Notes in Business Information Processing, Vol. 511 LNBIP). doi: 10.1007/978-3-031-61007-3_10, 10.1007/978-3-031-61007-3_10