Email: wurst ls8.cs.uni-dortmund.de Phone:   Room-No.:

About

• From 1996 till 2001: Studies in Computer Science at the University of Stuttgart.
• specialization subjects in computer science: Artificial Intelligence, Distributed Systems
• Diploma thesis: "Analysis and development of cooperative machine learning methods in multi-agent systems"
• Rewarded as the best diploma thesis at the faculty of computer science by the Vereinigung der Freunde der Universität Stuttgart, as well as with the reward of the Informatik Forum Stuttgart
• Work on a student research project "Application of Machine Learning Methods in a Multi-Agent System" at the Electrotechnical Department of the Czech Technical University, Gerstner Laboratory
• Scientific Assistant at the Gerstner Laboratory
• Studies in Bohemistics at the Philosophy Department of the Charles University
• Since 2001: PhD Student at the Artificial Intelligence Unit.

Projects

• AWAKE
• SFB 475 subproject A4
• KDUbiq

Research Topics

• Web Mining
• Knowledge Discovery
• Clustering
• Distributed Data Mining
• Distributed Knowledge Management
• Multi-Agent Learning

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, Vol. 4737, pages 122-141, 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 für 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 Organization. In Berendt, Bettina and others (editors), Workshop Ubiquitous Knowledge Discovery for Users (UKDU'06), 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 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), pages 935--940, ACM, 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/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/2003c	Novak, Jasminko and Fleischmann, Monika and Strauss, Wolfgang and Wurst, Michael and Morik, Katharina and Kunz, Christoph and Ziegler, Jürgen. 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

• Nemoz
• RapidMiner Distributed Data Mining Plugin
• Word Vector Tool and RapidMiner Word Vector Tool Plugin
• YALE Clustering Plugin (now fully integrated in RapidMiner)

Supervised Theses

• Adaptives Scheduling für verteiltes Data Mining (Martens, Maxim)
• Automatisierte Merkmalsextraktion aus Audiodaten (Mierswa, Ingo)
• Benutzergeleitetes Clustering von Musikdaten (Heinle, Eduard)
• Clustering von Forenbeiträgen zur Erstellung von FAQs (Hennig, Sascha)
• Finden interessanter Filmempfehlungen durch Maschinelles Lernen (Alberts, Rüdiger)
• Maschinelle Lernverfahren für kollaboratives Tagging (Kaspari, Andreas)
• Merkmalsgenerierung für die Ähnlichkeitsbewertung auf heterogenen Dokumentenkollektionen zur Personalisierung von Kollektionsübersichten (Vafiadis, Damianos)
• Outlier Detection in Newsforen (Deutsch, Stephan)

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, ...