Process Mining Manifesto

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


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.


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.


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

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  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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