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.

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@INPROCEEDINGS{M. P. van der Aalst2011,
title = {Process Mining Manifesto},
author = {Wil M. P. van der Aalst and Arya Adriansyah and Ana Karla Alves de Medeiros and Franco Arcieri and Thomas Baier and Tobias Blickle and R. P. Jagadeesh Chandra Bose and Peter van den Brand and Ronald Brandtjen and Joos C. A. M. Buijs and Andrea Burattin and Josep Carmona and Malú Castellanos and Jan Claes and Jonathan Cook and Nicola Costantini and Francisco Curbera and Ernesto Damiani and Massimiliano de Leoni and Pavlos Delias and Boudewijn F. van Dongen and Marlon Dumas and Schahram Dustdar and Dirk Fahland and Diogo R. Ferreira and Walid Gaaloul and Frank van Geffen and Sukriti Goel and Christian W. Günther and Antonella Guzzo and Paul Harmon and Arthur H. M. ter Hofstede and John Hoogland and Jon Espen Ingvaldsen and Koki Kato and Rudolf Kuhn and Akhil Kumar and Marcello La Rosa and Fabrizio Maria Maggi and Donato Malerba and R. S. Mans and Alberto Manuel and Martin McCreesh and Paola Mello and Jan Mendling and Marco Montali and Hamid R. Motahari Nezhad and Michael zur Muehlen and Jorge Munoz-Gama and Luigi Pontieri and Joel Ribeiro and Anne Rozinat and Hugo Seguel Pérez and Ricardo Seguel Pérez and Marcos Sepúlveda and Jim Sinur and Pnina Soffer and Minseok Song and Alessandro Sperduti and Giovanni Stilo and Casper Stoel and Keith D. Swenson and Maurizio Talamo and Wei Tan and Chris Turner and Jan Vanthienen and George Varvaressos and Eric Verbeek and Marc Verdonk and Roberto Vigo and Jianmin Wang and Barbara Weber and Matthias Weidlich and Ton Weijters and Lijie Wen and Michael Westergaard and Moe Thandar Wynn},
publisher = {Springer},
year = {2011},
isbn = {978-3-642-28107-5},
address = {Clermont-Ferrand, France},
url = {http://dx.doi.org/10.1007/978-3-642-28108-2_19},
publisher = {Springer},
language = {EN},
pages = {169-194},
series = {Business Process Management Workshops (1) 2011},
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.},
}

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.

Publication's profile

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

Associations

People: Mendling, Jan (Former researcher)
External: 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
Organization: Institute for Data, Process and Knowledge Management (AE Mendling) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria'): 5367 Management information systems (Details)

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