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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 de ning 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

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Citation

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Chicago
van der Aalst, Wil, 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, ed. F Daniel, K Barkaoui, and S Dustdar, 99:169–194. Berlin, Germany ; New York, NY, USA: Springer.
APA
van der Aalst, W., Adriansyah, A., de Medeiros, A. K. A., Arcieri, F., Baier, T., Blickle, T., Bose, J. C., et al. (2012). Process mining manifesto. In F Daniel, K. Barkaoui, & S. Dustdar (Eds.), Lecture Notes in Business Information Processing (Vol. 99, pp. 169–194). Presented at the 9th International conference on Business Process Management (BPM 2011), Berlin, Germany ; New York, NY, USA: Springer.
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.
MLA
van der Aalst, Wil, Arya Adriansyah, Ana Karla Alves de Medeiros, et al. “Process Mining Manifesto.” Lecture Notes in Business Information Processing. Ed. F Daniel, K Barkaoui, & S Dustdar. Vol. 99. Berlin, Germany ; New York, NY, USA: Springer, 2012. 169–194. Print.
@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 de\unmatched{000c}ning 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 G\unmatched{007f}unther, 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},
  keyword      = {process mining},
  language     = {eng},
  location     = {Clermont-Ferrand, France},
  number       = {2},
  pages        = {169--194},
  publisher    = {Springer},
  title        = {Process mining manifesto},
  url          = {http://dx.doi.org/10.1007/978-3-642-28108-2\_19},
  volume       = {99},
  year         = {2012},
}

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