- Author
- Wil van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos Buijs, Andrea Burattin, Josep Carmona, Malu Castellanos, Jan Claes (UGent) , Jonathan Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, Boudewijn van Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank van Geffen, Sukriti Goel, Christian Gunther, Antonella Guzzo, Paul Harmon, Arthur ter Hofstede, John Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maggi, Donato Malerba, Ronny Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid Motahari Nezhad, Michael zur Muehlen, Jorge Munoz-Gama, Luigi Pontieri, Joel Ribeiro, Anne Rozinat, Hugo Seguel Perez, Ricardo Seguel Perez, Marcos Sepulveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith Swenson, Maurizio Talamo, Wei Tan, Chris Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard and Moe Wynn
- Organization
- Abstract
- Process mining techniques are able to extract knowledge from event logs com-monly 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 dening 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.
- Keywords
- process mining
Downloads
-
Process Mining Manifesto.pdf
- full text
- |
- open access
- |
- |
- 636.82 KB
-
(...).pdf
- full text
- |
- UGent only
- |
- |
- 443.71 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-1922924
- MLA
- van der Aalst, Wil, et al. “Process Mining Manifesto.” Lecture Notes in Business Information Processing, edited by F Daniel et al., vol. 99, no. 2, Springer, 2012, pp. 169–94, doi:10.1007/978-3-642-28108-2_19.
- APA
- van der Aalst, W., Adriansyah, A., de Medeiros, A. K. A., Arcieri, F., Baier, T., Blickle, T., … Wynn, M. (2012). Process mining manifesto. In F. Daniel, K. Barkaoui, & S. Dustdar (Eds.), Lecture Notes in Business Information Processing (Vol. 99, pp. 169–194). https://doi.org/10.1007/978-3-642-28108-2_19
- Chicago author-date
- Aalst, Wil van der, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, Jagadeesh Chandra Bose, et al. 2012. “Process Mining Manifesto.” In Lecture Notes in Business Information Processing, edited by F Daniel, K Barkaoui, and S Dustdar, 99:169–94. Berlin, Germany ; New York, NY, USA: Springer. https://doi.org/10.1007/978-3-642-28108-2_19.
- Chicago author-date (all authors)
- van der Aalst, Wil, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos Buijs, Andrea Burattin, Josep Carmona, Malu Castellanos, Jan Claes, Jonathan Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, Boudewijn van Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank van Geffen, Sukriti Goel, Christian Gunther, Antonella Guzzo, Paul Harmon, Arthur ter Hofstede, John Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maggi, Donato Malerba, Ronny Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid Motahari Nezhad, Michael zur Muehlen, Jorge Munoz-Gama, Luigi Pontieri, Joel Ribeiro, Anne Rozinat, Hugo Seguel Perez, Ricardo Seguel Perez, Marcos Sepulveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith Swenson, Maurizio Talamo, Wei Tan, Chris Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard, and Moe Wynn. 2012. “Process Mining Manifesto.” In Lecture Notes in Business Information Processing, ed by. F Daniel, K Barkaoui, and S Dustdar, 99:169–194. Berlin, Germany ; New York, NY, USA: Springer. doi:10.1007/978-3-642-28108-2_19.
- Vancouver
- 1.van der Aalst W, Adriansyah A, de Medeiros AKA, Arcieri F, Baier T, Blickle T, et al. Process mining manifesto. In: Daniel F, Barkaoui K, Dustdar S, editors. Lecture Notes in Business Information Processing. Berlin, Germany ; New York, NY, USA: Springer; 2012. p. 169–94.
- IEEE
- [1]W. van der Aalst et al., “Process mining manifesto,” in Lecture Notes in Business Information Processing, Clermont-Ferrand, France, 2012, vol. 99, no. 2, pp. 169–194.
@inproceedings{1922924, abstract = {{Process mining techniques are able to extract knowledge from event logs com-monly 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 dening 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.}}, author = {{van der Aalst, Wil and Adriansyah, Arya and de Medeiros, Ana Karla Alves and Arcieri, Franco and Baier, Thomas and Blickle, Tobias and Bose, Jagadeesh Chandra and van den Brand, Peter and Brandtjen, Ronald and Buijs, Joos and Burattin, Andrea and Carmona, Josep and Castellanos, Malu and Claes, Jan and Cook, Jonathan and Costantini, Nicola and Curbera, Francisco and Damiani, Ernesto and de Leoni, Massimiliano and Delias, Pavlos and van Dongen, Boudewijn and Dumas, Marlon and Dustdar, Schahram and Fahland, Dirk and Ferreira, Diogo R. and Gaaloul, Walid and van Geffen, Frank and Goel, Sukriti and Gunther, Christian and Guzzo, Antonella and Harmon, Paul and ter Hofstede, Arthur and Hoogland, John and Ingvaldsen, Jon Espen and Kato, Koki and Kuhn, Rudolf and Kumar, Akhil and La Rosa, Marcello and Maggi, Fabrizio and Malerba, Donato and Mans, Ronny and Manuel, Alberto and McCreesh, Martin and Mello, Paola and Mendling, Jan and Montali, Marco and Nezhad, Hamid Motahari and zur Muehlen, Michael and Munoz-Gama, Jorge and Pontieri, Luigi and Ribeiro, Joel and Rozinat, Anne and Perez, Hugo Seguel and Perez, Ricardo Seguel and Sepulveda, Marcos and Sinur, Jim and Soffer, Pnina and Song, Minseok and Sperduti, Alessandro and Stilo, Giovanni and Stoel, Casper and 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 Wynn, Moe}}, booktitle = {{Lecture Notes in Business Information Processing}}, editor = {{Daniel, F and Barkaoui, K and Dustdar, S}}, isbn = {{9783642281075}}, issn = {{1865-1348}}, keywords = {{process mining}}, language = {{eng}}, location = {{Clermont-Ferrand, France}}, number = {{2}}, pages = {{169--194}}, publisher = {{Springer}}, title = {{Process mining manifesto}}, url = {{http://doi.org/10.1007/978-3-642-28108-2_19}}, volume = {{99}}, year = {{2012}}, }
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: