Michael Wurst

According to our database, Michael Wurst authored at least 33 papers between 2003 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2014

IBM's Analytic Warehouse Cloud Service.

Torsten Steinbach, Michael Wurst

Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014

TRISTAN: Real-time analytics on massive time series using sparse dictionary compression.

Alice Marascu, Pascal Pompey, Eric Bouillet, Michael Wurst, Olivier Verscheure, Martin Grund, Philippe Cudré-Mauroux

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Simulation einer Stadt zur Erzeugung virtueller Sensordaten für Smart City Anwendungen.

Marcus Behrendt, Mischa Böhm, Marina Borchers, Mustafa Caylak, Lena Eylert, Robert Friedrichs, Dennis Höting, Kamil Knefel, Timo Lottmann, Andreas Rehfeldt, Jens Runge, Sabrina-Cynthia Schnabel, Stephan Janssen, Daniela Nicklas, Michael Wurst

Proceedings of the IT-gestütztes Ressourcen- und Energiemanagement, 2013

Die "schlaue Stadt" - Erzeugung virtueller Sensordaten für Smart City Anwendungen.

Marcus Behrendt, Mischa Böhm, Mustafa Caylak, Lena Eylert, Robert Friedrichs, Dennis Höting, Kamil Knefel, Timo Lottmann, Andreas Rehfeldt, Jens Runge, Sabrina-Cynthia Schnabel, Stephan Janssen, Daniela Nicklas, Michael Wurst

Proceedings of the Datenbanksysteme für Business, 2013

MiSTRAL: An architecture for low-latency analytics on MasSive time series.

Alice Marascu, Pascal Pompey, Eric Bouillet, Olivier Verscheure, Michael Wurst, Martin Grund, Philippe Cudré-Mauroux

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Multi-objective frequent termset clustering.

Katharina Morik, Andreas Kaspari, Michael Wurst, Marcin Skirzynski

Knowl. Inf. Syst., 2012

Bayesian separation of wind power generation signals.

Ji Won Yoon, Francesco Fusco, Michael Wurst

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Mining residential household information from low-resolution smart meter data.

Francesco Fusco, Michael Wurst, Ji Won Yoon

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Interactive Predictive Analytics with Columnar Databases.

Martin A. Oberhofer, Michael Wurst

Proceedings of the Datenbanksysteme für Business, 2011

2010

Clustering the Web 2.0.

Katharina Morik, Michael Wurst

Proceedings of the Advances in Machine Learning II, 2010

Ubiquitous Data.

Andreas Hotho, Rasmus Ulslev Pedersen, Michael Wurst

Proceedings of the Ubiquitous Knowledge Discovery - Challenges, Techniques, Applications, 2010

Augmenting OLAP exploration with dynamic advanced analytics.

Benjamin Leonhardi, Bernhard Mitschang, Rubén Pulido de los Reyes, Christoph Sieb, Michael Wurst

Proceedings of the EDBT 2010, 2010

2008

Distributed collaborative structuring: a data mining approach to information management in loosely coupled domains.

Michael Wurst

PhD thesis, 2008

2007

Distributed feature extraction in a p2p setting - a case study.

Michael Wurst, Katharina Morik

Future Gener. Comput. Syst., 2007

Multi-objective Frequent Termset Clustering.

Andreas Kaspari, Michael Wurst

Proceedings of the LWA 2007: Lernen - Wissen, 2007

Multi-Aspect Tagging for Collaborative Structuring.

Katharina Morik, Michael Wurst

Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

Multi-agent Learning by Distributed Feature Extraction.

Michael Wurst

Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

2006

Analysis and evaluation of distributed knowledge management by agent-based simulation.

Michael Wurst

Int. J. Knowl. Based Intell. Eng. Syst., 2006

Aspect-Based Tagging for Collaborative Media Organization.

Oliver Flasch, Andreas Kaspari, Katharina Morik, Michael Wurst

Proceedings of the From Web to Social Web: Discovering and Deploying User and Content Profiles, 2006

Distributed Subgroup Mining.

Michael Wurst, Martin Scholz

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Sound Multi-objective Feature Space Transformation for Clustering.

Ingo Mierswa, Michael Wurst

Proceedings of the LWA 2006: Lernen - Wissensentdeckung - Adaptivität, Hildesheim, Deutschland, October 9th-11th 2006, joint workshop event of several interest groups of the German Society for Informatics (GI) - 14th Workshop on Adaptivity and User Modeling in Interactive Systems (ABIS 2006) - Workshop Information Retrieval 2006 of the Special Interest Group Information Retrieval (FGIR 2006) - Workshop on Knowledge and Experience Management (FGWM 2006), 2006

YALE: rapid prototyping for complex data mining tasks.

Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Incremental Clustering of Newsgroup Articles.

Sascha Hennig, Michael Wurst

Proceedings of the Advances in Applied Artificial Intelligence, 2006

Information preserving multi-objective feature selection for unsupervised learning.

Ingo Mierswa, Michael Wurst

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Localized Alternative Cluster Ensembles for Collaborative Structuring.

Michael Wurst, Katharina Morik, Ingo Mierswa

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Collaborative Knowledge Visualization for Cross-Community Learning.

Jasminko Novak, Michael Wurst

Proceedings of the Knowledge and Information Visualization, 2005

A Benchmark Dataset for Audio Classification and Clustering.

Helge Homburg, Ingo Mierswa, Bülent Möller, Katharina Morik, Michael Wurst

Proceedings of the ISMIR 2005, 2005

Efficient Case Based Feature Construction.

Ingo Mierswa, Michael Wurst

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Supporting Knowledge Creation and Sharing in Communities Based on Mapping Implicit Knowledge.

Jasminko Novak, Michael Wurst

J. Univers. Comput. Sci., 2004

2003

Entdeckung und Nutzbarmachung von stillem Wissen in heterogenen Expertengemeinschaften - das Projekt AWAKE.

Jasminko Novak, Christoph Kunz, Michael Wurst

i-com, 2003

Verbindung heterogener Experten-Communities durch die Entdeckung, Visualisierung und Nutzbarmachung von stillem Wissen - das AWAKE Projekt.

Jasminko Novak, Monika Fleischmann, Wolfgang Strauss, Michael Wurst, Katharina Morik, Christoph Kunz, Jürgen Ziegler

Proceedings of the Mensch & Computer 2003: Interaktion in Bewegung, 2003

Discovering, Visualizing, and Sharing Knowledge through Personalized Learning Knowledge Maps.

Jasminko Novak, Michael Wurst, Monika Fleischmann, Wolfgang Strauss

Proceedings of the Agent Mediated Knowledge Management, 2003

Knowledge Discovery in Databases and Agent-Mediated Knowledge Management.

João José Vasco Furtado, Ira J. Haimowitz, Michael Wurst

Proceedings of the Agent Mediated Knowledge Management, 2003