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Harnessing Collective Brainpower for Practical Excellence in Process Mining

Title data

Dechert, Franziska ; García González, Anais ; Marcus, Laura ; Moder, Linda ; Röglinger, Maximilian ; Lebherz, Julian ; Accorsi, Rafael ; Agam, Ron ; Al Ghadban, Mohammed ; Arcangeli, Silvio ; Blank, Peter ; Both, Thomas ; Erieau, Jean-Marc ; Hoffmann, Maximilian ; Krumeich, Julian ; Lehto, Teemu ; Müller, Christian ; Reinkemeyer, Lars ; Rosik, Michal ; Schilling, Christian ; Sun, Yiming ; Wehmschulte, Constantin ; Zanner, Büşra:
Harnessing Collective Brainpower for Practical Excellence in Process Mining.
Bayreuth, Germany , 2024

Official URL: Volltext

Abstract in another language

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Further data

Item Type: Working paper, discussion paper
Keywords: Whitepaper; Process Mining; ICPM
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 31 May 2024 09:09
Last Modified: 31 May 2024 10:02
URI: https://eref.uni-bayreuth.de/id/eprint/89640