IEEE CIS Task Force on Process Mining

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More and more people, both in industry and academia, consider process mining (see the promotional video for an introduction) as one of the most important innovations in the field of business process management. It joins ideas of process modeling and analysis on the one hand and data mining and machine learning on the other. Therefore, the IEEE has established a Task Force on Process Mining. This Task Force is established in the context of the Data Mining Technical Committee (DMTC) of the Computational Intelligence Society (CIS) of the Institute of Electrical and Electronic Engineers, Inc. (IEEE).

The goal of this Task Force is to promote the research, development, education and understanding of process mining. More concretely, the goal is to:

  • make end-users, developers, consultants, and researchers aware of the state-of-the-art in process mining,
  • promote the use of process mining techniques and tools and stimulating new applications,
  • play a role in standardization efforts for logging event data,
  • the organization of tutorials, special sessions, workshops, panels,
  • the organization of Conferences/Workshop with IEEE CIS Technical Co-Sponsorship, and
  • publications in the form of special issues in journals, books, articles (e.g., in the IEEE Computational Intelligence Magazine).

Note that process mining includes (automated) process discovery (extracting process models from an event log), conformance checking (monitoring deviations by comparing model and log), social network/organizational mining, automated construction of simulation models, case prediction, and history-based recommendations.

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Eligible candidates are those who officially obtained a PhD degree in 2018 in the field of process mining. The term process mining is interpreted broadly: The use of data produced during the execution of business, software, or system processes, in order to extract knowledge or insights to manage these processes.

The winner will receive the award at the ICPM’2019 Conference in Aachen, Germany on 24-26 June 2019. The award is connected with a monetary prize (exact amount to be announced later) and a free registration to the ICPM conference. The winner is also offered the option to publish the dissertation thesis in Springer’s LNBIP series.

Candidates are nominated by their primary supervisor via a nomination letter (but the application is submitted by the candidate). A supervisor is only allowed to nominate one candidate. The candidate is responsible for submitting the nomination material via Easychair: https://easychair.org/conferences/?conf=bpmda2019

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There will be a number of satellite events incl. a best process mining dissertation award, the BPI Challenge, the Process Discovery Contest and a brand-new contest dedicated to Conformance Checking. Moreover, we are organising an industry day right in the middle of the conference, to bring in process mining users, consultants and vendors around the same table together with academics.

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