Process Mining Manifesto

  • 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
  • Jonathan Cook
  • Nicola Costantini
  • Francisco Curbera
  • Ernesto Damiani
  • Massimiliano de Leoni
  • Pavlos Delias
  • Boudewijn F. van Dongen
  • Marlon Dumas
  • Schahram Dustdar
  • Dirk Fahland
  • Diogo R. Ferreira
  • Walid Gaaloul
  • Frank van Geffen
  • Sukriti Goel
  • Christian Günther
  • 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 S. Mans
  • Alberto Manuel
  • Martin McCreesh
  • Paola Mello
  • Jan Mendling
  • Marco Montali
  • Hamid R. Motahari-Nezhad
  • Michael zur Muehlen
  • Jorge Munoz-Gama
  • Luigi Pontieri
  • Joel Ribeiro
  • Anne Rozinat
  • Hugo Seguel Pérez
  • Ricardo Seguel Pérez
  • Marcos Sepúlveda
  • 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
  • Moe Wynn
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.

References

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

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Wil van der Aalst
    • 1
    • 2
  • Arya Adriansyah
    • 1
  • Ana Karla Alves de Medeiros
    • 50
  • Franco Arcieri
    • 26
  • Thomas Baier
    • 11
    • 53
  • Tobias Blickle
    • 6
  • Jagadeesh Chandra Bose
    • 1
  • Peter van den Brand
    • 4
  • Ronald Brandtjen
    • 7
  • Joos Buijs
    • 1
  • Andrea Burattin
    • 28
  • Josep Carmona
    • 29
  • Malu Castellanos
    • 8
  • Jan Claes
    • 45
  • Jonathan Cook
    • 30
  • Nicola Costantini
    • 21
  • Francisco Curbera
    • 9
  • Ernesto Damiani
    • 27
  • Massimiliano de Leoni
    • 1
  • Pavlos Delias
    • 51
  • Boudewijn F. van Dongen
    • 1
  • Marlon Dumas
    • 44
  • Schahram Dustdar
    • 46
  • Dirk Fahland
    • 1
  • Diogo R. Ferreira
    • 31
  • Walid Gaaloul
    • 49
  • Frank van Geffen
    • 24
  • Sukriti Goel
    • 12
  • Christian Günther
    • 5
  • Antonella Guzzo
    • 32
  • Paul Harmon
    • 17
  • Arthur ter Hofstede
    • 2
    • 1
  • John Hoogland
    • 3
  • Jon Espen Ingvaldsen
    • 14
  • Koki Kato
    • 10
  • Rudolf Kuhn
    • 7
  • Akhil Kumar
    • 33
  • Marcello La Rosa
    • 2
  • Fabrizio Maggi
    • 1
  • Donato Malerba
    • 34
  • Ronny S. Mans
    • 1
  • Alberto Manuel
    • 20
  • Martin McCreesh
    • 15
  • Paola Mello
    • 38
  • Jan Mendling
    • 35
  • Marco Montali
    • 52
  • Hamid R. Motahari-Nezhad
    • 8
  • Michael zur Muehlen
    • 36
  • Jorge Munoz-Gama
    • 29
  • Luigi Pontieri
    • 25
  • Joel Ribeiro
    • 1
  • Anne Rozinat
    • 5
  • Hugo Seguel Pérez
    • 23
  • Ricardo Seguel Pérez
    • 22
  • Marcos Sepúlveda
    • 47
  • Jim Sinur
    • 18
  • Pnina Soffer
    • 37
  • Minseok Song
    • 39
  • Alessandro Sperduti
    • 28
  • Giovanni Stilo
    • 26
  • Casper Stoel
    • 3
  • Keith Swenson
    • 13
  • Maurizio Talamo
    • 26
  • Wei Tan
    • 9
  • Chris Turner
    • 40
  • Jan Vanthienen
    • 41
  • George Varvaressos
    • 16
  • Eric Verbeek
    • 1
  • Marc Verdonk
    • 19
  • Roberto Vigo
    • 21
  • Jianmin Wang
    • 42
  • Barbara Weber
    • 43
  • Matthias Weidlich
    • 48
  • Ton Weijters
    • 1
  • Lijie Wen
    • 42
  • Michael Westergaard
    • 1
  • Moe Wynn
    • 2
  1. 1.Eindhoven University of TechnologyThe Netherlands
  2. 2.Queensland University of TechnologyAustralia
  3. 3.Pallas AthenaThe Netherlands
  4. 4.Futura Process IntelligenceThe Netherlands
  5. 5.FluxiconThe Netherlands
  6. 6.Software AGGermany
  7. 7.ProcessGold AGGermany
  8. 8.HP LaboratoriesUSA
  9. 9.IBM T.J. Watson Research CenterUSA
  10. 10.Fujitsu Laboratories Ltd.Japan
  11. 11.BWI Systeme GmbHGermany
  12. 12.Infosys Technologies LtdIndia
  13. 13.Fujitsu America Inc.USA
  14. 14.FoursparkNorway
  15. 15.Iontas/VerintUSA
  16. 16.Business Process MiningAustralia
  17. 17.Business Process TrendsUSA
  18. 18.GartnerUSA
  19. 19.Deloitte InnovationThe Netherlands
  20. 20.Process SpherePortugal
  21. 21.Siav SpAItaly
  22. 22.BPM ChileChile
  23. 23.Excellentia BPMChile
  24. 24.RabobankThe Netherlands
  25. 25.ICAR-CNRItaly
  26. 26.University of Rome “Tor Vergata”Italy
  27. 27.Università degli Studi di MilanoItaly
  28. 28.University of PaduaItaly
  29. 29.Universitat Politècnica de CatalunyaSpain
  30. 30.New Mexico State UniversityUSA
  31. 31.IST - Technical University of LisbonPortugal
  32. 32.University of CalabriaItaly
  33. 33.Penn State UniversityUSA
  34. 34.University of BariItaly
  35. 35.Vienna University of Economics and BusinessAustria
  36. 36.Stevens Institute of TechnologyUSA
  37. 37.University of HaifaIsrael
  38. 38.University of BolognaItaly
  39. 39.Ulsan National Institute of Science and TechnologyKorea
  40. 40.Cranfield UniversityUK
  41. 41.K.U. LeuvenBelgium
  42. 42.Tsinghua UniversityChina
  43. 43.University of InnsbruckAustria
  44. 44.University of TartuEstonia
  45. 45.Ghent UniversityBelgium
  46. 46.Technical University of ViennaAustria
  47. 47.Pontificia Universidad Católica de ChileChile
  48. 48.Hasso Plattner InstituteGermany
  49. 49.Telecom SudParisFrance
  50. 50.Capgemini ConsultingThe Netherlands
  51. 51.Kavala Institute of TechnologyGreece
  52. 52.Free University of Bozen-BolzanoItaly
  53. 53.Humboldt-Universität zu BerlinGermany

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