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International Conference on Business Process Management

BPM 2011: Business Process Management Workshops pp 169–194Cite as

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Process Mining Manifesto

Process Mining Manifesto

  • Wil van der Aalst9,10,
  • Arya Adriansyah9,
  • Ana Karla Alves de Medeiros58,
  • Franco Arcieri34,
  • Thomas Baier19,61,
  • Tobias Blickle14,
  • Jagadeesh Chandra Bose9,
  • Peter van den Brand12,
  • Ronald Brandtjen15,
  • Joos Buijs9,
  • Andrea Burattin36,
  • Josep Carmona37,
  • Malu Castellanos16,
  • Jan Claes53,
  • Jonathan Cook38,
  • Nicola Costantini29,
  • Francisco Curbera17,
  • Ernesto Damiani35,
  • Massimiliano de Leoni9,
  • Pavlos Delias59,
  • Boudewijn F. van Dongen9,
  • Marlon Dumas52,
  • Schahram Dustdar54,
  • Dirk Fahland9,
  • Diogo R. Ferreira39,
  • Walid Gaaloul57,
  • Frank van Geffen32,
  • Sukriti Goel20,
  • Christian Günther13,
  • Antonella Guzzo40,
  • Paul Harmon25,
  • Arthur ter Hofstede10,9,
  • John Hoogland11,
  • Jon Espen Ingvaldsen22,
  • Koki Kato18,
  • Rudolf Kuhn15,
  • Akhil Kumar41,
  • Marcello La Rosa10,
  • Fabrizio Maggi9,
  • Donato Malerba42,
  • Ronny S. Mans9,
  • Alberto Manuel28,
  • Martin McCreesh23,
  • Paola Mello46,
  • Jan Mendling43,
  • Marco Montali60,
  • Hamid R. Motahari-Nezhad16,
  • Michael zur Muehlen44,
  • Jorge Munoz-Gama37,
  • Luigi Pontieri33,
  • Joel Ribeiro9,
  • Anne Rozinat13,
  • Hugo Seguel Pérez31,
  • Ricardo Seguel Pérez30,
  • Marcos Sepúlveda55,
  • Jim Sinur26,
  • Pnina Soffer45,
  • Minseok Song47,
  • Alessandro Sperduti36,
  • Giovanni Stilo34,
  • Casper Stoel11,
  • Keith Swenson21,
  • Maurizio Talamo34,
  • Wei Tan17,
  • Chris Turner48,
  • Jan Vanthienen49,
  • George Varvaressos24,
  • Eric Verbeek9,
  • Marc Verdonk27,
  • Roberto Vigo29,
  • Jianmin Wang50,
  • Barbara Weber51,
  • Matthias Weidlich56,
  • Ton Weijters9,
  • Lijie Wen50,
  • Michael Westergaard9 &
  • …
  • Moe Wynn10 
  • Conference paper
  • Open Access
  • 34k Accesses

  • 388 Citations

  • 4 Altmetric

Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 99)

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.

Keywords

  • Process Mining
  • Business Process Management
  • Business Intelligence
  • Concept Drift
  • Process Instance

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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

    CrossRef  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Eindhoven University of Technology, The Netherlands

    Wil van der Aalst, Arya Adriansyah, Jagadeesh Chandra Bose, Joos Buijs, Massimiliano de Leoni, Boudewijn F. van Dongen, Dirk Fahland, Arthur ter Hofstede, Fabrizio Maggi, Ronny S. Mans, Joel Ribeiro, Eric Verbeek, Ton Weijters & Michael Westergaard

  2. Queensland University of Technology, Australia

    Wil van der Aalst, Arthur ter Hofstede, Marcello La Rosa & Moe Wynn

  3. Pallas Athena, The Netherlands

    John Hoogland & Casper Stoel

  4. Futura Process Intelligence, The Netherlands

    Peter van den Brand

  5. Fluxicon, The Netherlands

    Christian Günther & Anne Rozinat

  6. Software AG, Germany

    Tobias Blickle

  7. ProcessGold AG, Germany

    Ronald Brandtjen & Rudolf Kuhn

  8. HP Laboratories, USA

    Malu Castellanos & Hamid R. Motahari-Nezhad

  9. IBM T.J. Watson Research Center, USA

    Francisco Curbera & Wei Tan

  10. Fujitsu Laboratories Ltd., Japan

    Koki Kato

  11. BWI Systeme GmbH, Germany

    Thomas Baier

  12. Infosys Technologies Ltd, India

    Sukriti Goel

  13. Fujitsu America Inc., USA

    Keith Swenson

  14. Fourspark, Norway

    Jon Espen Ingvaldsen

  15. Iontas/Verint, USA

    Martin McCreesh

  16. Business Process Mining, Australia

    George Varvaressos

  17. Business Process Trends, USA

    Paul Harmon

  18. Gartner, USA

    Jim Sinur

  19. Deloitte Innovation, The Netherlands

    Marc Verdonk

  20. Process Sphere, Portugal

    Alberto Manuel

  21. Siav SpA, Italy

    Nicola Costantini & Roberto Vigo

  22. BPM Chile, Chile

    Ricardo Seguel Pérez

  23. Excellentia BPM, Chile

    Hugo Seguel Pérez

  24. Rabobank, The Netherlands

    Frank van Geffen

  25. ICAR-CNR, Italy

    Luigi Pontieri

  26. University of Rome “Tor Vergata”, Italy

    Franco Arcieri, Giovanni Stilo & Maurizio Talamo

  27. Università degli Studi di Milano, Italy

    Ernesto Damiani

  28. University of Padua, Italy

    Andrea Burattin & Alessandro Sperduti

  29. Universitat Politècnica de Catalunya, Spain

    Josep Carmona & Jorge Munoz-Gama

  30. New Mexico State University, USA

    Jonathan Cook

  31. IST - Technical University of Lisbon, Portugal

    Diogo R. Ferreira

  32. University of Calabria, Italy

    Antonella Guzzo

  33. Penn State University, USA

    Akhil Kumar

  34. University of Bari, Italy

    Donato Malerba

  35. Vienna University of Economics and Business, Austria

    Jan Mendling

  36. Stevens Institute of Technology, USA

    Michael zur Muehlen

  37. University of Haifa, Israel

    Pnina Soffer

  38. University of Bologna, Italy

    Paola Mello

  39. Ulsan National Institute of Science and Technology, Korea

    Minseok Song

  40. Cranfield University, UK

    Chris Turner

  41. K.U. Leuven, Belgium

    Jan Vanthienen

  42. Tsinghua University, China

    Jianmin Wang & Lijie Wen

  43. University of Innsbruck, Austria

    Barbara Weber

  44. University of Tartu, Estonia

    Marlon Dumas

  45. Ghent University, Belgium

    Jan Claes

  46. Technical University of Vienna, Austria

    Schahram Dustdar

  47. Pontificia Universidad Católica de Chile, Chile

    Marcos Sepúlveda

  48. Hasso Plattner Institute, Germany

    Matthias Weidlich

  49. Telecom SudParis, France

    Walid Gaaloul

  50. Capgemini Consulting, The Netherlands

    Ana Karla Alves de Medeiros

  51. Kavala Institute of Technology, Greece

    Pavlos Delias

  52. Free University of Bozen-Bolzano, Italy

    Marco Montali

  53. Humboldt-Universität zu Berlin, Germany

    Thomas Baier

Authors
  1. Wil van der Aalst
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  2. Arya Adriansyah
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  4. Franco Arcieri
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  5. Thomas Baier
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  6. Tobias Blickle
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  7. Jagadeesh Chandra Bose
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  8. Peter van den Brand
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  9. Ronald Brandtjen
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  10. Joos Buijs
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  11. Andrea Burattin
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  13. Malu Castellanos
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  14. Jan Claes
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  15. Jonathan Cook
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  16. Nicola Costantini
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  17. Francisco Curbera
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  18. Ernesto Damiani
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  19. Massimiliano de Leoni
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  20. Pavlos Delias
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  21. Boudewijn F. van Dongen
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  32. Arthur ter Hofstede
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  33. John Hoogland
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  35. Koki Kato
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  36. Rudolf Kuhn
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  37. Akhil Kumar
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  38. Marcello La Rosa
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  42. Alberto Manuel
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  44. Paola Mello
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  45. Jan Mendling
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  47. Hamid R. Motahari-Nezhad
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  48. Michael zur Muehlen
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  50. Luigi Pontieri
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Editor information

Editors and Affiliations

  1. University of Trento, Povo, Italy

    Florian Daniel

  2. CNAM-CEDRIC, Paris, France

    Kamel Barkaoui

  3. Vienna University of Technology, Vienna, Austria

    Schahram Dustdar

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

van der Aalst, W. et al. (2012). Process Mining Manifesto. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds) Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28108-2_19

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