Quantifying the Re-identification Risk of Event Logs for Process Mining

Autor: von Voigt, S. Nuñez, Fahrenkrog-Petersen, S. A., Janssen, D., Koschmider, A., Tschorsch, F., Mannhardt, F., Landsiedel, O., Weidlich, M.

Publikováno v: CAiSE 2020: Advanced Information Systems Engineering pp 252-267

Event logs recorded during the execution of business processes constitute a valuable source of information. Applying process mining techniques to them, event logs may reveal the actual process execution and enable reasoning on quantitative or qualita

Externí odkaz: http://arxiv.org/abs/2003.10707

Visual analytics for soundness verification of process models

Autor: Garcia Caballero, Humberto S., Westenberg, Michel A., Verbeek, Henricus M.W., van der Aalst, Wil M.P., Teniente, E., Weidlich, M.

Publikováno v: Business Process Management Workshops: BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers, 744-756
STARTPAGE=744;ENDPAGE=756;TITLE=Business Process Management Workshops
Business Process Management Workshops ISBN: 9783319740294
Business Process Management Workshops

Soundness validation of process models is a complex task for process modelers due to all the factors that must be taken into account. Although there are tools to verify this property, they do not provide users with easy information on where soundness

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab873b253f39aa8e5fb19aa39aff076b
http://www.scopus.com/inward/record.url?scp=85041743771&partnerID=8YFLogxK

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Meta-dataflows: efficient exploratory dataflow jobs

Autor: Castro Fernandez, R, Culhane, W, Watcharapichat, P, Weidlich, M, Pietzuch, PR

Publikováno v: ACM Conference on Management of Data (SIGMOD)

Distributed dataflow systems such as Apache Spark and Apache Flink are used to derive new insights from large datasets. While they efficiently execute concrete data processing workflows, expressed as dataflow graphs, they lack generic support for exp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1032::23e45c1b82cc3713d6a2748229f67e5b
http://hdl.handle.net/10044/1/58752

Recurrent process mining with live event data

Autor: Syamsiyah, A., van Dongen, B.F., van der Aalst, W.M.P., Teniente, E., Weidlich, M.

Publikováno v: Business Process Management Workshops ISBN: 9783319740294
Business Process Management Workshops
Business Process Management Workshops: BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers, 178-190
STARTPAGE=178;ENDPAGE=190;TITLE=Business Process Management Workshops

In organizations, process mining activities are typically performed in a recurrent fashion, e.g. once a week, an event log is extracted from the information systems and a process mining tool is used to analyze the process’ characteristics. Typicall

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8c2f80a7afdfc2b97c33f104997a9c1
https://doi.org/10.1007/978-3-319-74030-0_13