IEEE CIS Task Force on Process Mining

Trace: start


|

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.

Recent news

Call for Doctoral Consortium @ BPM 2018

bpm2018.web.cse.unsw.edu.au_main.jpg

PhD students working in the area of Business Process Management (BPM) are invited to submit their proposals for participation in a Doctoral Consortium, which will be held on Sunday, 9 September, 2018, in conjunction with the 16th International Conference on Business Process Management (BPM 2018) in Sydney, Australia (http://bpm2018.web.cse.unsw.edu.au/).

The Doctoral Consortium has the following objectives:

  • To provide valuable feedback on students’ research methods and plans
  • To provide helpful guidance on students’ research directions and topics
  • To promote the development of a community of scholars that will help students in their future careers
  • To provide students with opportunities to meet and interact with experienced researchers in the area of business process management The PhD candidates of the accepted proposals are expected to present their research at the Doctoral Consortium. We welcome submissions representing a broad spectrum of research topics related to BPM.

Participants will benefit from the advice of senior researchers in the field and from the interaction with peers being at a similar stage of their careers.

→ Read more...