
An Open-Source Interactive Tool for Data-Driven Process Discovery and Modeling #processmining #opensource
Aachen
Joined March 2020
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Cortado, the premier interactive process discovery software tool, becomes #opensource 🚀 For all information, check out our latest article in the @SoftXJournal
doi.org/10.1016/j.softx.2023…
Cortado retweeted
Replying to @gnpark7 @cortado_tool
Also really worth to point out that everything is implemented, beautifully visualized, and made accessible in @cortado_tool
Great example for all CS research!
Cortado retweeted
Paper Divulgation: "Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data" by D. Schuster, M. Martini, S. J. van Zelst & W. van der Aalst | Aachen Uni. & Fraunhofer Inst. for Applied Inf. Tech.
icsoc2022.spilab.es/2022/11/…
#icsoc #processes #BPM
Cortado retweeted
Daniel Schuster @Fraunhofer_FIT on BPMN cancellation semantics with reset nets #EDOC2022
Our paper "Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data" got accepted at @icsoc2022. We propose a novel query language for trace variants that is implemented in the latest version of Cortado, freely available at cortado.fit.fraunhofer.de/#d…
Preprint available at: researchgate.net/publication…
Many thanks to all co-authors: Michael Martini, Sebastiaan J. van Zelst and @wvdaalst
Cortado retweeted
Three best paper awards at #edoc2022 and #coopis2022 for PADS@RWTH members. Congratulations to Daniel, Tsung-Hao, Majid, and co-authors 🎉🥳🍾 Well-done!
@edocconference @pads_rwth
Cortado retweeted
New paper accepted at #CoopIS 2022: 'Conformance Checking for Trace Fragments Using Infix and Postfix Alignments' by @Fraunhofer_FIT and @pads_rwth members: Daniel Schuster, Niklas Föcking, Sebastian van Zelst and @wvdaalst
E-print available at: arxiv.org/pdf/2209.04290.pdf
Cortado 1.6.0 is out, including #BPMN support, trace variant #querying, performance analysis functionality, and much more. Freely available at cortado.fit.fraunhofer.de/
#ProcessMining
Cortado retweeted
"How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare"
authors.elsevier.com/c/1f1Vw…
Article with @ElisabettaB91 and Davide Aloini showing the advantages of #interactive #processmining.
Cortado retweeted
New paper accepted at @ida_symposia: "A Generic Trace Ordering Framework for Incremental Process Discovery". By @Fraunhofer_FIT and @RWTH members Daniel Schuster, Emanuel Domnitsch, Sebastiaan J. van Zelst & @wvdaalst!
link.springer.com/chapter/10…
Eprint freely available 👇
Cortado retweeted
New paper accepted in Elsevier Computers in Industry journal: "Utilizing domain knowledge in data-driven process discovery: A literature review". By @Fraunhofer_FIT members Daniel Schuster, Sebastiaan J. van Zelst and @wvdaalst. Available in open access: sciencedirect.com/science/ar…
Cortado becomes even more colorful. We have just released Cortado 1.4.0. Release notes and builds for Windows and Linux can be found at cortado.fit.fraunhofer.de/#d…
#processmining
Cortado retweeted
Had a great day at our second edition of #EdbA. Congratulations to D. Schuster, L. Schade, S. J. van Zelst and @wvdaalst for winning the Best Paper Award with "Visualizing Trace Variants From Partially Ordered Event Data". @icpm_conf #icpm21
Cortado retweeted
New paper on "Visualizing Trace Variants From Partially Ordered Event Data" by @Fraunhofer_FIT members Daniel Schuster, Bas van Zelst and @wvdaalst accepted at the International Workshop on Event Data and Behavioral Analytics @icpm_conf
Eprint available: arxiv.org/pdf/2110.02060
Cortado retweeted
Give a follow to @cortado_tool, the latest interactive discovery tool by @Fraunhofer_FIT based on process trees! Proudly powered by @pm4py!
#ProcessMining #ProcessDiscovery
Cortado retweeted
Cortado: The first truly interactive #processmining tool by Daniel Schuster @Fraunhofer_FIT. Incrementally discover, repair, add, and check your process model based on event data. See arxiv.org/abs/2105.07666 and download from cortado.fit.fraunhofer.de/.
























