-------- Original-Nachricht -------- Betreff: [isworld] CFP Machine Learning Datum: Fri, 30 May 2008 10:23:32 +0200 Von: Goethals, Frank Frank.Goethals@econ.kuleuven.be Antwort an: Goethals, Frank Frank.Goethals@econ.kuleuven.be An: AISWORLD Information Systems World Network isworld@lyris.isworld.org

============================================================= | 2nd Call for Papers | | Swarm Intelligence for Knowledge Discovery in Data | | Special Issue for the International Journal | | Machine Learning | ============================================================= CFP can be found online at: http://www.econ.kuleuven.be/public/ndbaf65/CFP.pdf

Guest editors ------------- David Martens (K.U.Leuven) Tom Fawcett (Stanford University) Bart Baesens (K.U.Leuven/University of Southampton)

Scope ----- Swarm Intelligence is a relatively new subfield of artificial intelligence which studies the emergent collective intelligence of groups of simple agents. It is based on the social insects' metaphor where a number of insects with limited capabilities are able to come to intelligent solutions for complex problems. In recent decades the Swarm Intelligence paradigm has received widespread attention in research, mainly as Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). Successful applications of swarm intelligence include the modelling of agent behaviour, such as the large numbers of fighting individuals in the battle scenes of the Lord of the Rings movies, and various optimization problems, such as the routing of packages through networks, the travelling salesman problem, scheduling, etc. This special issue focuses on the intersection of the swarm intelligence paradigm with Machine Learning and Knowledge Discovery in Data. We solicit high-quality, previously unpublished papers where both domains are properly addressed. Possible topics for papers include: The application of * Particle Swarm Optimization * Ant Colony Optimization * Stochastic Diffusion Search * Any algorithmic approach based on biological swarm intelligence, such as bird flocking, fish schooling, bee behaviours, bacterial growth, animal herding, etc. For * Clustering * Classification * Regression * Association Rule Mining * Time Series Analysis * Feature Selection Other topics of interest are: * Computational models of self-organizing systems * Use of fine-grained parallel models, such as cellular automata, in machine learning and knowledge discovery * Emergent behavior and its relationship to pattern recognition and learning

Important Dates --------------- Submission deadline: June 20, 2008 First notification: September 26, 2008 Revised manuscripts due: December 30, 2008 Final acceptance notification: February, 2009 Intended publication date: 2009

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