Process Mining Manifesto

@inproceedings{Aalst2011ProcessMM,
  title={Process Mining Manifesto},
  author={W. Aalst and A. Adriansyah and A. A. D. Medeiros and F. Arcieri and Thomas Baier and T. Blickle and R. Bose and P. V. D. Brand and R. Brandtjen and J. Buijs and Andrea Burattin and J. Carmona and M. Castellanos and Jan Claes and J. Cook and Nicola Costantini and F. Curbera and E. Damiani and M. Leoni and Pavlos Delias and B. V. Dongen and M. Dumas and S. Dustdar and Dirk Fahland and D. R. Ferreira and W. Gaaloul and F. V. Geffen and S. Goel and C. G{\"u}nther and A. Guzzo and P. Harmon and A. Hofstede and J. Hoogland and Jon Espen Ingvaldsen and Koki Kato and Rudolf Kuhn and Akhil Kumar and M. Rosa and F. Maggi and D. Malerba and R. Mans and Alberto Manuel and M. McCreesh and P. Mello and J. Mendling and M. Montali and Hamid R. Motahari Nezhad and M. Z. Muehlen and J. Munoz-Gama and L. Pontieri and J. Ribeiro and A. Rozinat and Hugo Seguel P{\'e}rez and Ricardo Seguel and M. Sep{\'u}lveda and Jim Sinur and P. Soffer and Minseok Song and A. Sperduti and G. Stilo and Casper Stoel and K. Swenson and M. Talamo and Wei Tan and C. Turner and J. Vanthienen and George Varvaressos and Eric Verbeek and M. Verdonk and R. Vigo and Jianmin Wang and B. Weber and M. Weidlich and A. Weijters and L. Wen and M. Westergaard and M. Wynn},
  booktitle={Business Process Management Workshops},
  year={2011}
}
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… Expand
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References

Process Mining - Discovery, Conformance and Enhancement of Business Processes
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  • Engineering, Computer Science
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