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Process Mining Manifesto

van der Aalst, Wil M. P. and Adriansyah, Arya and Karla Alves de Medeiros, Ana and Arcieri, Franco and Baier, Thomas and Blickle, Tobias and P. Jagadeesh Chandra Bose, R. and van den Brand, Peter and Brandtjen, Ronald and C. A. M. Buijs, Joos and Burattin, Andrea and Carmona, Josep and Castellanos, Malú and Claes, Jan and Cook, Jonathan and Costantini, Nicola and Curbera, Francisco and Damiani, Ernesto and de Leoni, Massimiliano and Delias, Pavlos and F. van Dongen, Boudewijn and Dumas, Marlon and Dustdar, Schahram and Fahland, Dirk and R. Ferreira, Diogo and Gaaloul, Walid and van Geffen, Frank and Goel, Sukriti and Günther, Christian W. and Guzzo, Antonella and Harmon, Paul and H. M. ter Hofstede, Arthur and Hoogland, John and Espen Ingvaldsen, Jon and Kato, Koki and Kuhn, Rudolf and Kumar, Akhil and La Rosa, Marcello and Maria Maggi, Fabrizio and Malerba, Donato and S. Mans, R. and Manuel, Alberto and McCreesh, Martin and Mello, Paola and Mendling, Jan and Montali, Marco and R. Motahari Nezhad, Hamid and zur Muehlen, Michael and Munoz-Gama, Jorge and Pontieri, Luigi and Ribeiro, Joel and Rozinat, Anne and Seguel Pérez, Hugo and Seguel Pérez, Ricardo and Sepúlveda, Marcos and Sinur, Jim and Soffer, Pnina and Song, Minseok and Sperduti, Alessandro and Stilo, Giovanni and Stoel, Casper and D. Swenson, Keith and Talamo, Maurizio and Tan, Wei and Turner, Chris and Vanthienen, Jan and Varvaressos, George and Verbeek, Eric and Verdonk, Marc and Vigo, Roberto and Wang, Jianmin and Weber, Barbara and Weidlich, Matthias and Weijters, Ton and Wen, Lijie and Westergaard, Michael and Thandar Wynn, Moe (2011) Process Mining Manifesto. In: Business Process Management Workshops. BPM 2011 Workshops, Part I, LNBIP 99, Springer, Clermont-Ferrand, France. pp. 169-194. ISBN 978-3-642-28107-5

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Abstract

Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes.

Item Type: Book Section
Additional Information: This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Mendling
Version of the Document: Published
Variance from Published Version: None
Depositing User: Elena Simukovic
Date Deposited: 14 Nov 2016 13:44
Last Modified: 08 Mar 2017 23:14
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/60001/
URI: http://epub.wu.ac.at/id/eprint/5252

References

van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Berlin (2011)

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