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| 2nd Call for Papers |
| Swarm Intelligence for Knowledge Discovery in Data |
| Special Issue for the International Journal |
| Machine Learning |
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CFP can be found online at:
http://www.econ.kuleuven.be/public/ndbaf65/CFP.pdf
Guest editors
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David Martens (K.U.Leuven)
Tom Fawcett (Stanford University)
Bart Baesens (K.U.Leuven/University of Southampton)
Scope
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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unpublished papers where both domains are properly addressed.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
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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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