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              • Projects | Dr. Mike Preuß
 
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Dr. Mike Preuß
Former Research Assistant

Data Science: Statistics and Optimization

Leonardo Campus 3
48149 Münster


www.wi.uni-muenster.de/department/statistik/people/mike-preuss

External profiles:
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ShortURL: ERC.IS ShortURL erc.is/p/mike.preuss

  • About
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  • in progress

    COSEAL - Configuration and Selection of Algorithms

    The COSEAL research group is an international consortium of researchers from all over the world (e.g. Belgium, Canada, Ireland, Denmark and Germany) which addresses current challenges from Algorithm Selection, Algorithm Configuration and Machine Learning.


    Project status in progress
    Project time 01.02.2013- 01.01.2030
    Website http://www.coseal.net
    Keywords algorithm selection; configuration; machine learning

     

  • definitely finished

    Joint research project: Identifying, verifying, and stopping concealed propaganda attacks via online media - Sub-Project: Coordination of simulation, identification, and defense against concealed propaganda attacks

    This project addresses the identification and verification of (semi-)automated concealed propaganda in online media (e.g. in social networks) as an interdisciplinary approach.


    Project status definitely finished
    Project time 01.06.2016- 30.11.2019
    Website http://www.propstop.de
    Funding source Federal Ministry of Education and Research
    Project number 16KIS0495K
    Keywords Information Systems; Social Media; Propaganda; Public Opinion; Web

     

    9th International Conference on Evolutionary Multi- Criterion Optimization, Münster 19. - 22.03.2017

    EMO 2017 is the 9th International Conference on Evolutionary Multi- Criterion Optimization, aiming to continue the success of previous EMO conferences. We will bring together both the EMO and the multiple criteria decision making (MCDM) communities and moreover focus on solving real-world problems in government, business and industry. The classical EMO format will be supplemented by an EMO competition.


    Project status definitely finished
    Project time 19.03.2017- 22.03.2017
    Website http://www.emo2017.org
    Funding source Participation / conference fees
    Project number TR 891/9-1
    Keywords Evolutionary Multiobjective Optimization

     

    Structural optimization of distributed energy supply systems - applied to chemical parks

    The project aimed at setting up a method for structural optimization that enables the planning engineer to design a distributed energy supply system of near-optimal quality.


    Project status definitely finished
    Project time 01.06.2010- 31.08.2013
    Website http://www.ltt.rwth-aachen.de/de/forschung/energiesystemtechnik/energiesystemtechnik/project/Strukturoptimierung_von_Energiev/
    Keywords Optimization; Energy Supply Systems; MINLP; Multi-criterial Optimization

     

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Contact

Data Science: Statistics and Optimization
Prof. Dr. Heike Trautmann

Leonardo-Campus 3
48149 Münster
Germany

Tel.: +49 251 83-38200
Fax: +49 251 83-38209
qm@wi.uni-muenster.de

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