Workshop on Evolving Predictive Systems

Workshop on Evolving Predictive Systems

co-located with the 12th International Conference on Parallel Problem Solving From Nature (PPSN-2012)

September 1-5, 2012

Taormina, Italy

In recent years, the data mining scientific community witnessed a very strong demand for predictive systems that will be able to evolve and adapt. The range of tasks fulfilled by evolving predictive systems is very broad and covering many different application areas. Despite the high number of publications dealing with applications, there are still unaddressed pressing issues of evolving predictive systems design and development, such as complexity analysis, ensemble architectures and meta-learning. This workshop is devoted to the discussion of robust, context aware and easy-to-use evolving predictive systems, which improve, adapt and possibly maintain themselves within their respective environments and constraints.  Contributions presenting recent work on ensemble systems, complexity analysis and meta-learning are particularly welcome.

The workshop addresses people from the scientific IT community who are active in the research domain of data-driven systems capable to adapt to changing situations and environments. The considered approaches can include evolutionary algorithms, other nature-inspired methods or heuristic approaches. Special focus will be put on research dealing with ensemble architectures, as well as with complexity issues (size, form and interpretation of the solution formula, time and algorithm complexity) and meta-learning incorporation.

Researchers are invited to submit original work as papers of not more than 10 pages. Authors are encouraged to submit their papers in LaTeX. Papers must be submitted in Springer Verlag’s LNCS style.

Topics of interest

Topics that are in the area of interest of the workshop include, but are not limited to:

•             Advanced Modelling Techniques for Evolving Predictive Systems
•             Evolving Predictive Ensembles
•             Complexity Analysis for Evolving Predictive Systems
•             Advanced Adaptation Mechanisms
•             Meta-learning
•             Applications

Important Dates

Submission of Papers: 2 April 2012

Notification of Acceptance: 1 June 2012

Camera-Ready submission of Papers: 20 June 2012

Early Registration Deadline: 25 June 2012

Conference: 1-5 September 2012

Papers are submitted by direct email to mailto:atsakonas@bournemouth.ac.uk

Organization Committee

Bogdan Gabrys, Bournemouth University, UK, bgabrys@bournemouth.ac.uk

Athanasios Tsakonas, Bournemouth University, UK, atsakonas@bournemouth.ac.uk

Mailing address: Bournemouth University, Poole House, Talbot Campus, Fern Barrow, Poole, Dorset, BH12 5BB, UK

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