The R package TDMR (Tuned Data Mining in R) is now available on CRAN in a major new release 2.0. It supports the new R  package SPOT 2.0 (Sequential Parameter Optimization Toolbox) with its largely redesigned and simplified interface. TDMR 2.0 has as well a simplified interface. TDMR documentation and TDMR tutorials have been rewritten to account for the simpler interface.

Tuned Data Mining in R ('TDMR') performs the complete tuning of a data mining task (predictive analytics, that is classification and regression). Preprocessing parameters and modeling parameters can be tuned simultaneously. It incorporates a variety of tuners (among them 'SPOT' and CMA with package 'rCMA') and allows integration of additional tuners. Noise handling in the data mining optimization process is supported, see Koch et al. (2015) <doi:10.1016/j.asoc.2015.01.005>.

More information on TDMR is available on the TDMR project page.

GBG (General Board Game Playing & Learning) is an Open Source software framework developed at TH Köln, University of Applied Sciences. GBG aims to ease the entry for the students in Game learning research area which is a very interesting sub-field of artifical intelligence. Last year, two students finished their Bachelor theses successfully on the basis of the GBG under supervision of Wolfgang Konen

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The annual Computational Intelligence workshop in Dortmund is a great place for sharing new ideas and recent work done in computational-intelligence related topics. This year, the GMA workshop took place on 23-24 of November at the Dorint Hotel in Dortmund. Our team presented two papers in the fields of surrogate models and time series analysis. In total there were 4 papers presented from members of TH Köln, Campus Gummersbach.

Besides receiving effective feedbacks about our own work, we also had a chance of  listening to many interesting talks about related research work, done in different universities. The presentations had very diverse topics: from more practical ones to very abstract and mathematical ones. The friendly atmosphere, constructive critics and open discussions make this workshop very special and productive.


If you are interested in our recent article Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets  which appeared in the journal Applied Soft Computing (ASOC), please take the opportunity to follow this link: For a period until November, 02, 2017, this link will provide the free download of the final journal article. (After this period, the link is still

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The OC Digital Day organiezed by TH Köln and Opitz Consulting group has taken place at TH Köln Campus Gummersbach last Sturday. Many talks and a few keynotes were presented in the field of digitalising (model-based optimization, Big Data, Oracle, Gamification, smart home, ...) by Opitz employees as well as TH Köln students. Our group also joined this coneference with a presentation about the main ideas behind the model-based optimization for real world problems.

You can find a short video about Digital Day here.