Quotation M. P. van der Aalst, Wil, Adriansyah, Arya, Karla Alves de Medeiros, Ana, Arcieri, Franco, Baier, Thomas, Blickle, Tobias, P. Jagadeesh Chandra Bose, R., van den Brand, Peter, Brandtjen, Ronald, C. A. M. Buijs, Joos, Burattin, Andrea, Carmona, Josep, Castellanos, Malú, Claes, Jan, Cook, Jonathan, Costantini, Nicola, Curbera, Francisco, Damiani, Ernesto, de Leoni, Massimiliano, Delias, Pavlos, F. van Dongen, Boudewijn, Dumas, Marlon, Dustdar, Schahram, Fahland, Dirk, R. Ferreira, Diogo, Gaaloul, Walid, van Geffen, Frank, Goel, Sukriti, Günther, Christian W., Guzzo, Antonella, Harmon, Paul, H. M. ter Hofstede, Arthur, Hoogland, John, Espen Ingvaldsen, Jon, Kato, Koki, Kuhn, Rudolf, Kumar, Akhil, La Rosa, Marcello, Maria Maggi, Fabrizio, Malerba, Donato, S. Mans, R., Manuel, Alberto, McCreesh, Martin, Mello, Paola, Mendling, Jan, Montali, Marco, R. Motahari Nezhad, Hamid, zur Muehlen, Michael, Munoz-Gama, Jorge, Pontieri, Luigi, Ribeiro, Joel, Rozinat, Anne, Seguel Pérez, Hugo, Seguel Pérez, Ricardo, Sepúlveda, Marcos, Sinur, Jim, Soffer, Pnina, Song, Minseok, Sperduti, Alessandro, Stilo, Giovanni, Stoel, Casper, D. Swenson, Keith, Talamo, Maurizio, Tan, Wei, Turner, Chris, Vanthienen, Jan, Varvaressos, George, Verbeek, Eric, Verdonk, Marc, Vigo, Roberto, Wang, Jianmin, Weber, Barbara, Weidlich, Matthias, Weijters, Ton, Wen, Lijie, Westergaard, Michael, Thandar Wynn, Moe. 2011. Process Mining Manifesto. In Business Process Management Workshops (1) 2011, Hrsg. Lecture Notes in Business Information Processing, 169-194. Clermont-Ferrand, France: Springer.




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.


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Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Process Mining Manifesto
Title of whole publication Business Process Management Workshops (1) 2011
Editor Lecture Notes in Business Information Processing
Page from 169
Page to 194
Location Clermont-Ferrand, France
Publisher Springer
Year 2011
ISBN 978-3-642-28107-5
URL http://dx.doi.org/10.1007/978-3-642-28108-2_19


Mendling, Jan (Details)
Adriansyah, Arya
Arcieri, Franco
Baier, Thomas
Blickle, Tobias
Brandtjen, Ronald
Burattin, Andrea
C. A. M. Buijs, Joos
Carmona, Josep
Castellanos, Malú
Claes, Jan
Cook, Jonathan
Costantini, Nicola
Curbera, Francisco
D. Swenson, Keith
Damiani, Ernesto
de Leoni, Massimiliano
Delias, Pavlos
Dumas, Marlon
Dustdar, Schahram
Espen Ingvaldsen, Jon
F. van Dongen, Boudewijn
Fahland, Dirk
Gaaloul, Walid
Goel, Sukriti
Günther, Christian W.
Guzzo, Antonella
H. M. ter Hofstede, Arthur
Harmon, Paul
Hoogland, John
Karla Alves de Medeiros, Ana
Kato, Koki
Kuhn, Rudolf
Kumar, Akhil
La Rosa, Marcello
M. P. van der Aalst, Wil
Malerba, Donato
Manuel, Alberto
Maria Maggi, Fabrizio
McCreesh, Martin
Mello, Paola
Montali, Marco
Munoz-Gama, Jorge
P. Jagadeesh Chandra Bose, R.
Pontieri, Luigi
R. Ferreira, Diogo
R. Motahari Nezhad, Hamid
Ribeiro, Joel
Rozinat, Anne
S. Mans, R.
Seguel Pérez, Hugo
Seguel Pérez, Ricardo
Sepúlveda, Marcos
Sinur, Jim
Soffer, Pnina
Song, Minseok
Sperduti, Alessandro
Stilo, Giovanni
Stoel, Casper
Talamo, Maurizio
Tan, Wei
Thandar Wynn, Moe
Turner, Chris
van den Brand, Peter
van Geffen, Frank
Vanthienen, Jan
Varvaressos, George
Verbeek, Eric
Verdonk, Marc
Vigo, Roberto
Wang, Jianmin
Weber, Barbara
Weidlich, Matthias
Weijters, Ton
Wen, Lijie
Westergaard, Michael
zur Muehlen, Michael
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5367 Management information systems (Details)
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