TFPM 2012 - IEEE Task Force on Process Mining

The IEEE Task Force on Process Mining (www.win.tue.nl/ieeetfpm) is
organizing a special session at the 2012 IEEE World Congress on
Computational Intelligence/ IEEE Congress on Evolutionary Computation
(IEEE CEC/WCCI 2012). The goal of this special session is to join
experts in the area of process mining to present new techniques and
applications. Therefore, submissions of papers on new process mining
techniques, computational intelligence applications of process mining,
business intelligence, automated business process discovery,
conformance checking, process intelligence, etc., are welcome. See
http://processminingcec2012.wordpress.com/ for more details on the
special session. See http://www.ieee-wcci2012.org/ieee-wcci2012/ for
detailed submission information.
Process mining is a relative young research discipline that sits
between computational intelligence and data mining on one hand, and
process modeling and analysis on the other hand. The idea of process
mining is to discover, monitor and improve real processes (not assumed
processes) by extracting knowledge from event logs readily available
in today's systems. Process mining provides an important bridge
between data mining and business process modeling and analysis.
Process mining research started in the late nineties. At that time
there was little event data available and the process mining
techniques were extremely naive and hence unusable. Over the last
decade, event data has become readily available and process mining
techniques have matured. Moreover, process mining algorithms have been
implemented in various academic and commercial systems. Today, there
is an active group of researchers working on process mining and it has
become one of the "hot topics" in BPM research. Moreover, there is a
huge interest from industry in process mining. More and more software
vendors started adding process mining functionality to their tools.
Furthermore, the diverse range of computational intelligence
approaches and methodologies are well suited to approaches combining
process mining and other computational intelligence adaptive business
systems.
Organizers:
Dr. Moe Thandar Wynn, Queensland University of Technology, Australia
Prof. dr. Jan Vanthienen, K.U. Leuven, Belgium
Prof. Zbigniew Michalewicz, University of Adelaide, Australia
Dr. Adam Ghandar, University of Adelaide, Australia
Important Dates:
Full paper submission due: December 19, 2011 Jan 18, 2012 (23:59 EST)
Notification of acceptance: February 20, 2012
Final paper submission date: April 2, 2012
Conference dates: June 10-15, 2012