Betreff: | [AISWorld] Special Session on Process Mining at the 2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014) |
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Datum: | Wed, 11 Dec 2013 23:02:14 +0200 |
Von: | Luciano García-Bañuelos <lgbanuelos@gmail.com> |
An: | aisworld@lists.aisnet.org |
Special Session on Process Mining at the 2014 IEEE
Congress on Evolutionary Computation (IEEE CEC 2014)
hosted by
IEEE World Congress on Computational Intelligence (IEEE
WCCI 2014)
Beijing, China, 6-11 July 2014
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SCOPE
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The IEEE Task Force on Process Mining (http://www.win.tue.nl/ieeetfpm/)
is organizing a Special Session on Process Mining at the
2014 IEEE Congress on Evolutionary Computation (IEEE CEC
2014).
Process mining is a relatively young research discipline
that sits between computational intelligence and data
mining on the one hand and process modeling and analysis
on the other hand. The idea of process mining is to
discover, monitor and improve real processes (i.e., 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, larger amounts of event data have become
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.
The aim of this special session on process mining is to
increase the awareness of the community of computational
intelligence and, particularly in evolutionary
computation, on the issues and current solutions around
process mining. The topics of interest include, but are
not limited to:
* Process Mining
* Business Process Intelligence
* Automated Business Process Discovery
* Decision and Rule Mining
* Visual Analytics in Process Mining
* Conformance Checking
* Application of Computational Intelligence to Process
Mining
* Case studies
* The accepted papers will be published in the IEEE CEC
conference proceedings and indexed by IEEE Xplore and DBLP
digital libraries.
======================
SUBMISSION INFORMATION
======================
Visit http://wcci2014.processmining.it for detailed submission information, including Manuscript Style, templates and the submission procedure.
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ORGANIZERS
==========
Dr. Massimiliano de Leoni, Department of Mathematics,
University of Padua and Faculty of Mathematics and
Computer Science, Eindhoven University of Technology.
Dr. Luciano García-Bañuelos, Institute of Computer
Science, University of Tartu, Estonia.
Dr. Minseok Song, School of Technology Management, Ulsan
National Institute of Science and Technology, South Korea
Dr. Lijie Wen, School of Software, Tsinghua University,
P.R. China
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IMPORTANT DATE
==============
Paper submission deadline: 20 December, 2013
Decision: 15 March, 2014
Final paper submission: 15 April, 2014
Conference dates: 6-11 July, 2014