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View all- Zerbato FSoffer PWeber B(2022)Process Mining Practices: Evidence from InterviewsBusiness Process Management10.1007/978-3-031-16103-2_19(268-285)Online publication date: 11-Sep-2022
Mining Process Mining Practices: An Exploratory Characterization of Information Needs in Process Analytics
Pages 322 - 337
Abstract
Many business process management activities benefit from the investigation of event data. Thus, research, foremost in the field of process mining, has focused on developing appropriate analysis techniques, visual idioms, methodologies, and tools. Despite the enormous effort, the analysis process itself can still be fragmented and inconvenient: analysts often apply various tools and ad-hoc scripts to satisfy information needs. Therefore, our goal is to better understand the specific information needs of process analysts. To this end, we characterize and examine domain problems, data, analysis methods, and visualization techniques associated with visual representations in 71 analysis reports. We focus on the representations, as they are of central importance for understanding and conveying information derived from event data. Our contribution lies in the explication of the current state of practice, enabling the evaluation of existing as well as the creation of new approaches and tools against the background of actual, practical needs.
References
[1]
Ailenei I, Rozinat A, Eckert A, and van der Aalst WMP Daniel F, Barkaoui K, and Dustdar S Definition and validation of process mining use cases Business Process Management Workshops 2012 Heidelberg Springer 75-86
[2]
Augusto, A., Conforti, R., Dumas, M., La Rosa, M.: Split miner: discovering accurate and simple business process models from event logs. In: ICDM, pp. 1–10 (2017)
[3]
Bozkaya, M., Gabriels, J., van der Werf, J.: Process diagnostics: a method based on process mining. In: eKNOW, pp. 22–27 (2009)
[4]
Dumas M, La Rosa M, Mendling J, and Reijers H Fundamentals of Business Process Management 2013 Heidelberg Springer
[5]
García-Bañuelos L, van Beest N, Dumas M, La Rosa M, and Mertens W Complete and interpretable conformance checking of business processes IEEE Trans. Softw. Eng. 2017 44 262-290
[6]
Isenberg, P., Zuk, T., Collins, C., Carpendale, S.: Grounded evaluation of information visualizations. In: Workshop on Beyond Time and Errors: Novel Evaluation Methods for Information Visualization, pp. 6:1–6:8 (2008)
[7]
Keim D, Andrienko G, Fekete J-D, Görg C, Kohlhammer J, and Melançon G Kerren A, Stasko JT, Fekete J-D, and North C Visual analytics: definition, process, and challenges Information Visualization 2008 Heidelberg Springer 154-175
[8]
Krippendorff K Content Analysis: An Introduction to Its Methodology 2004 2 Thousand Oaks Sage Publications
[9]
Leemans Sander J. J., Fahland Dirk, and van der Aalst Wil M. P. Discovering Block-Structured Process Models from Event Logs - A Constructive Approach Application and Theory of Petri Nets and Concurrency 2013 Berlin, Heidelberg Springer Berlin Heidelberg 311-329
[10]
Martens, J., Verheul, P.: Social performance review of 5 Dutch municipalities: future fit cases for outsourcing? In: BPI (2015)
[11]
Mayring, P.: Qualitative content analysis. Forum Qual. Soc. Res. 1(2) (2000). Article no. 20
[12]
Meyer, M., Sedlmair, M., Munzner, T.: The four-level nested model revisited: blocks and guidelines. In: BELIV, pp. 11:1–11:6 (2012)
[13]
Munzner T A nested model for visualization design and validation IEEE Trans. Vis. Comput. Graph. 2009 15 6 921-928
[14]
Munzner T Visualization Analysis and Design 2014 Boca Raton CRC Press
[15]
Nguyen H, Dumas M, La Rosa M, ter Hofstede AHM, et al. Trujillo JC et al. Multi-perspective comparison of business process variants based on event logs Conceptual Modeling 2018 Cham Springer 449-459
[16]
Recker J Scientific Research in Information Systems: A Beginner’s Guide 2013 Berlin Springer
[17]
Rozinat A and van der Aalst W Conformance checking of processes based on monitoring real behavior Inf. Syst 2008 33 1 64-95
[18]
Song, M., van der Aalst, W.: Supporting process mining by showing events at a glance. In: WITS 2007, pp. 139–145 (2007)
[19]
Spence R Information Visualization - An Introduction 2014 Cham Springer
[20]
van der Aalst, W.: Business process management: a comprehensive survey. ISRN Softw. Eng. 2013 (2013). Article no. 507984
[21]
van der Aalst W Process Mining: Data Science in Action 2016 Berlin Springer
[22]
van der Aalst, W., de Leoni, M., ter Hofstede, A.: Process mining and visual analytics: breathing life into business process models. BPM reports, BPMcenter.org (2011)
[23]
van Eck ML, Lu X, Leemans SJJ, and van der Aalst WMP Zdravkovic J, Kirikova M, and Johannesson P PM: a process mining project methodology Advanced Information Systems Engineering 2015 Cham Springer 297-313
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Published In
Sep 2019
450 pages
ISBN:978-3-030-26618-9
DOI:10.1007/978-3-030-26619-6
© Springer Nature Switzerland AG 2019.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 01 September 2019
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View all- Zerbato FSoffer PWeber B(2022)Process Mining Practices: Evidence from InterviewsBusiness Process Management10.1007/978-3-031-16103-2_19(268-285)Online publication date: 11-Sep-2022
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