-------- Original-Nachricht -------- Betreff: [AISWorld] Special Session on Process Mining at the 2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014) 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

===== SCOPE =====

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.

========== 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

============== IMPORTANT DATE ==============

Paper submission deadline: 20 December, 2013 Decision: 15 March, 2014 Final paper submission: 15 April, 2014 Conference dates: 6-11 July, 2014