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On September 2007, two research teams ("Machine Learning and Data Mining" and "Theoretical Bioinformatics", of the Image Sciences, Computer Sciences and Remote Sensing Laboratory (LSIIT) in Strasbourg) merged to create a new team called FDBT (Fouille de Données et Bioinformatique Théorique) concerned with data-mining, machine learning, optimisation and theoretical bioinformatics, led by Prof. Pierre Collet.

The former "Theoretical Bioinformatics" team was exploring models of gene evolution based on probabilistic methods or computer simulation, while the "Machine Learning and Data Mining team" was using (among other techniques) artificial evolution as a tool to solve machine learning, optimisation or data-mining problems. The new team will promote common research around artificial and natural evolution, to contribute to the fields of both computer science and biology.

These common research activities will be developed while, of course, pursuing the different themes in which the two previous teams had good results.

Keywords:

Data mining, supervised and unsupervised learning, classification, clustering, stochastic optimisation, artificial evolution, genetic algorithms, genetic programming, genomic, bioinformatics, circular codes, stochastic models of gene evolution.