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About

Projects

Research Topics

Publications

Mierswa/etal/2008a Mierswa, Ingo and Morik, Katharina and Wurst, Michael. Handling Local Patterns in Collaborative Structuring. In Masseglia, Florent and Poncelet, Pascal and Teisseire, Maguelonne (editors), Successes and New Directions in Data Mining, pages 167 -- 186, IGI Global, 2008.
Mierswa/etal/2008b Mierswa, Ingo and Morik, Katharina and Wurst, Michael. Collaborative Use of Features in a Distributed System for the Organization of Music Collections. In Shen and Shephard and Cui and Liu (editors), Intelligent Music Information Systems: Tools and Methodologies, pages 147--176, Igi Global Publishing, 2008.
Wurst/2008a Michael Wurst. Distributed Collaborative Structuring -- A Data Mining Approach to Information Management in Loosely Coupled Domains. Fachbereich Informatik, Technische Universität Dortmund, 2008.
Flasch/etal/2007a Flasch, Oliver and Kaspari, Andreas and Morik, Katharina and Wurst, Michael. Nemoz— A Distributed Framework for Collaborative Media Organization. In Proceedings of the Third International Workshop on Distributed Frameworks for Multimedia Applications, 2007.
Flasch/etal/2007b Flasch, Oliver and Kaspari, Andreas and Morik, Katharina and Wurst, Michael. Aspect-Based Tagging for Collaborative Media Organization. In Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and Semeraro, Giovanni (editors), From Web to Social Web: Discovering and Deploying User and Content Profiles, Springer, 2007.
Kaspari/Wurst/2007a Kaspari, Andreas and Wurst, Michael. Multi-objective Frequent Termset Clustering. In Proceedings of the Workshop on Knowledge Discovery, Data Mining, and Machine Learning (KDML), 2007.
Mierswa/etal/2007b Mierswa, Ingo and Morik, Katharina and Wurst, Michael. Collaborative Use of Features in a Distributed System for the Organization of Music Collections. In Shen, Shepherd, Cui, and Liu (editors), Intelligent Music Information Systems: Tools and Methodologies, pages 147 - 175, Information Science Reference, 2007.
Morik/Wurst/2007a Morik, Katharina and Wurst, Michael. Multi-Aspect Tagging for Collaborative Structuring. In Michael R. Berthold and Katharina Morik and Arno Siebes (editors), Parallel Universes and Local Patterns, No. 07181, Internationales Begegnungs- und Forschungszentrum f\"ur Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.
Wurst/2007b Wurst, Michael. Multi-Agent Learning by Distributed Feature Extraction. In Daniel Kudenko and Ann Nowe and Zahia Guessoum and Karl Tuyls (editors), Adaptive Agents and Multi-Agent Systems III, pages 239 --, Springer, 2007.
Wurst/Morik/2007a Wurst, Michael and Morik, Katharina. Distributed Feature Extraction in a P2P Setting - A Case Study. In Future Generation Computer Systems, Special Issue on Data Mining, Vol. 23, No. 1, pages 69 -- 75, Amsterdam, The Netherlands, Elsevier Science Publishers B. V., 2007.
Flasch/etal/2006a Flasch, Oliver and Kaspari, Andreas and Morik, Katharina and Wurst, Michael. Aspect-based tagging for collaborative media organisation. In Proceedings of the ECML/PKDD workshop on Ubiquitous Knowledge Discovery for users, 2006.
Hennig/Wurst/2006a Hennig, Sascha and Wurst, Michael. Incremental Clustering of Newsgroup Articles. In Moonis Ali and Richard Dapoigny (editors), Proceedings of the International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 06), pages 332--341, Berlin, Heidelberg, Springer, 2006.
Mierswa/etal/2006a Mierswa, Ingo and Wurst, Michael and Klinkenberg, Ralf and Scholz, Martin and Euler, Timm. YALE: Rapid Prototyping for Complex Data Mining Tasks. In Tina Eliassi-Rad and Lyle H. Ungar and Mark Craven and Dimitrios Gunopulos (editors), Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), pages 935--940, New York, USA, ACM Press, 2006.
Mierswa/Wurst/2006a Mierswa, Ingo and Wurst, Michael. Information Preserving Multi-Objective Feature Selection for Unsupervised Learning. In Maarten Keijzer and Mike Cattolico and Dirk Arnold and Vladan Babovic and Christian Blum and Peter Bosman and Martin V. Butz and Carlos Coello Coello and Dipankar Dasgupta and Sevan G. Ficici and James Foster and Arturo Hernandez-Aguirre and Greg Hornby and Hod Lipson and Phil McMinn and Jason Moore and Guenther Raidl and Franz Rothlauf and Conor Ryan and Dirk Thierens (editors), GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computation, pages 1545--1552, New York, NY, USA, ACM Press, 2006.
Mierswa/Wurst/2006b Mierswa, Ingo and Wurst, Michael. Sound Multi-Objective Feature Space Transformation for Clustering. In Proceedings of the Knowledge Discovery, Data Mining, and Machine Learning (KDML), pages 330--337, 2006.
Wurst/etal/2006a Wurst, Michael and Morik, Katharina and Mierswa, Ingo. Localized Alternative Cluster Ensembles for Collaborative Structuring. In Johannes Fürnkranz and Tobias Scheffer and Myra Spiliopoulou (editors), Proceedings of the European Conference on Machine Learning, pages 485--496, Berlin, Springer, 2006.
Wurst/Morik/2006b Wurst, Michael and Morik, Katharina. Multi-Agent Learning By Feature Sharing. In Proceedings of the 6th European Symposium on Adaptive Learning Agents and MAS, 2006.
Wurst/Scholz/2006a Wurst, Michael and Scholz, Martin. Distributed Subgroup Discovery. In Johannes Furnkranz, Tobias Scheffer, Myra Spiliopoulou (editors), Proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-06), Vol. 4213, pages 421--433, Berlin, Germany, Springer, 2006.
Homburg/etal/2005a Homburg, Helge and Mierswa,Ingo and Moller, Bulent and Morik, Katharina and Wurst, Michael. A Benchmark Dataset for Audio Classification and Clustering. In Joshua D. Reiss and Geraint A. Wiggins (editors), Proc. of the International Symposium on Music Information Retrieval 2005, pages 528--531, London, UK, Queen Mary University, 2005.
Mierswa/Wurst/2005a Mierswa, Ingo and Wurst, Michael. Efficient Case Based Feature Construction for Heterogeneous Learning Tasks. No. CI-194/05, Collaborative Research Center 531, University of Dortmund, 2005.
Mierswa/Wurst/2005b Mierswa, Ingo and Wurst, Michael. Efficient Feature Construction by Meta Learning -- Guiding the Search in Meta Hypothesis Space. In Proc. of the International Conference on Machine Learning, Workshop on Meta Learning, 2005.
Mierswa/Wurst/2005c Mierswa, Ingo and Wurst, Michael. Efficient Case Based Feature Construction for Heterogeneous Learning Tasks. In Alipio Jorge and Luis Torgo and Pavel Brazdil and Rui Camacho and Joao Gama (editors), Proceedings of the European Conference on Machine Learning (ECML 2005), pages 641--648, Berlin, Springer, 2005.
Novak/Wurst/2005a Novak, Jasminko and Wurst, Michael. Collaborative Knowledge Visualization for Cross-Community Learning. In S.-O. Tergan and T. Keller (editors), Knowledge and Information Visualization, Springer, 2005.
Wurst/2005a Wurst, Michael. Evaluating Knowledge Management in Heterogeneous Domains by Agent-based Simulation. In Proceedings of the Workshop on Agent Mediated Knowledge Management, 2005.
Wurst/etal/2005a Wurst, Michael and Mierswa, Ingo and Morik, Katharina. Structuring Music Collections by Exploiting Peers' Processing. No. 43/05, Collaborative Research Center 475, University of Dortmund, 2005.
Novak/Wurst/2004a Novak, Jasminko and Wurst, Michael. Supporting Knowledge Creation and Sharing in Communities Based on Mapping Implicit Knowledge. In j-jucs, Vol. 10, No. 3, pages 235--251, 2004.
Wurst/Novak/2004a Wurst, Michael and Novak, Jasminko. Knowledge Sharing im Heterogeneous Expert Communities based on Personal Taxonomies. In ECAI Workshop on Agent Mediated Knowledge Management, 2004.
Novak/etal/2003a Novak, Jasminko and Wurst, Michael and Fleischmann, Monika and Strau?, Wolfgang. Discovering, Visualizing and Sharing Knowledge throughPersonalized Learning Knowledge Maps. In AAAI Spring Symposium on Agent Mediated Knowledge Management, 2003.
Novak/etal/2003b Novak, Jasminko and Kunz, Christoph and Wurst, Michael. Entdeckung und Nutzbarmachung von stillem Wissen in heterogenen Expertengemeinschaften - das Projekt AWAKE. In i-com, Vol. 3, No. 3, pages 18-26, 2003.
Novak/etal/2003c Novak, Jasminko and Fleischmann, Monika and Strauss, Wolfgang and Wurst, Michael and Morik, Katharina and Kunz, Christoph and Ziegler, J"urgen. Verbindung heterogener Experten-Communities durch die Entdeckung, Visualisierung und Nutzbarmachung von stillem Wissen - das AWAKE Projekt. In Mensch und Computer, 2003.
Novak/Wurst/2003a Novak, Jasminko and Wurst, Michael. Discovering, Visualizing and Sharing Knowledge through Personalized Learning Knowledge Maps. In Agent Mediated Knowledge Management, 2003.
Novak/Wurst/2003b Novak, Jasminko and Wurst, Michael. Supporting Communities of Practice Through Personalisation and Collaborative Structuring based on Capturing Implicit Knowledge. In Proceedings of the International Conference on Knowledge Management, 2003.
Morik/Wurst/2002a Morik, Katharina and Wurst, Michael. Knowledge Dicovery and Knowledge Visualization. In Netzspannung Workshop 2002, 2002.
Novak/etal/2002a Novak, Jasminko and Fleischmann, Monika and Strauss, Wolfgang and Schneider, Martin and Wurst, Michael and Morik, Katharina and Ziegler, Jurgen and Kunz, Christoph. Augmenting the knowledge bandwidth and connecting heterogeneous communities through uncovering tacit knowledge. In Proceedings of the IEEE Workshop on Knowledge Media Networking (KMN 2002), 2002.
Wurst/Novak/2002a Wurst, Michael and Novak, Jasminko and Schneider, Martin. Integrating Different Machine Learning Methods to Support Search in Cross-domain Information Sources - the Project Awake. In Proceedings of the FGML Workshop 2002, 2002.
Wurst/2001a Wurst, Michael. Application of Machine Learning Methods in a Multi-Agent System. Gerstner Laboratory, Czech Technical University, 2001.
Wurst/2001b Wurst, Michael. Untersuchung und Entwicklung von Verfahren zum kooperativen Maschinellen Lernen in Multi-Agenten Systemen. University of Stuttgart, 2001.

Software

Supervised Master's Theses

Membership

  • Member of the German Society for Computer Science
  • PC Member of the International World Wide Web Conference (WWW 2008),
  • Chair of the Data Mining in Web 2.0 Environments Workshops at the International Conference on Data Mining (ICDM 2007), Omaha, USA.
  • PC Member of the Workshop on Knowledge Discovery and Machine Learning (KDML 2007)
  • Reviews für ECML/PKDD, IJCAI, VLDB Journal, KAIS, ICDM, ...