Michael Wurst

发表

Knowledge Discovery and Knowledge Visualization

Katharina Morik, Michael Wurst, K. Morik, 2002 .

Multi-agent Learning by Distributed Feature Extraction

Michael Wurst, M. Wurst, 2007, Adaptive Agents and Multi-Agents Systems.

Katharina Morik, Michael Wurst, 2010, Advances in Machine Learning II.

Bayesian separation of wind power generation signals

Francesco Fusco, Michael Wurst, Ji Won Yoon, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Incremental Clustering of Newsgroup Articles

Michael Wurst, Sascha Hennig, 2006, IEA/AIE.

Computational Aeroacoustics with Higher Order Methods

Ewald Krämer, Michael Wurst, Manuel Keßler, 2013 .

Efficient Case Based Feature Construction for Heterogeneous Learning Tasks

Ingo Mierswa, Michael Wurst, 2006 .

IBM in-Database Analytics for R [R package ibmdbR version 1.50.0]

Michael Wurst, Toni Bollinger, Alexander Eckert, 2018 .

Interactive Predictive Analytics with Columnar Databases

Martin Oberhofer, Michael Wurst, M. Wurst, 2011, BTW.

Localized Alternative Cluster Ensembles for Collaborative Structuring

Katharina Morik, Ingo Mierswa, Michael Wurst, 2006, ECML.

Collaborative Knowledge Visualization for Cross-Community Learning

Michael Wurst, Jasminko Novak, J. Novak, 2005, Knowledge and Information Visualization.

Knowledge Discovery in Databases and Agent-Mediated Knowledge Management

Ira J. Haimowitz, Michael Wurst, João José Vasco Furtado, 2003, AMKM.

Entdeckung und Nutzbarmachung von stillem Wissen in heterogenen Expertengemeinschaften – das Projekt AWAKE (Uncovering and Utilization of Tacit Knowledge in Heterogeneous Expert Communities)

Michael Wurst, Jasminko Novak, Christoph Kunz, 2003, i-com.

A Benchmark Dataset for Audio Classification and Clustering

Katharina Morik, Ingo Mierswa, Michael Wurst, 2005, ISMIR.

Sound Multi-objective Feature Space Transformation for Clustering

Ingo Mierswa, Michael Wurst, M. Wurst, 2006, LWA.

Augmenting the knowledge bandwidth and connecting heterogeneous expert communities through uncovering tacit knowledge

Katharina Morik, Wolfgang Strauss, Monika Fleischmann, 2002, Proceedings. IEEE Workshop on Knowledge Media Networking.

Handling Local Patterns in Collaborative Structuring

Katharina Morik, Ingo Mierswa, Michael Wurst, 2008 .

YALE: rapid prototyping for complex data mining tasks

Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, 2006, KDD '06.

Efficient Feature Construction by Meta Learning – Guiding the Search in Meta Hypothesis Space

Ingo Mierswa, Michael Wurst, 2005 .

Multi-Aspect Tagging for Collaborative Structuring

Katharina Morik, Michael Wurst, 2007, Parallel Universes and Local Patterns.

Simulation einer Stadt zur Erzeugung virtueller Sensordaten für Smart City Anwendungen

Daniela Nicklas, Michael Wurst, Sabrina-Cynthia Schnabel, 2013, BUIS-Tage.

Augmenting OLAP exploration with dynamic advanced analytics

Bernhard Mitschang, Michael Wurst, Rubén Pulido de los Reyes, 2010, EDBT '10.

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

Eric Bouillet, Martin Grund, Philippe Cudré-Mauroux, 2013, 2013 IEEE International Conference on Big Data.

Distributed Subgroup Mining

Michael Wurst, Martin Scholz, Martin Scholz, 2006, PKDD.

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

Daniela Nicklas, Michael Wurst, Sabrina-Cynthia Schnabel, 2013, BTW.

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

Eric Bouillet, Martin Grund, Philippe Cudré-Mauroux, 2014, 2014 IEEE International Conference on Big Data (Big Data).

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

Wolfgang Strauss, Monika Fleischmann, Michael Wurst, 2003, AMKM.

Distributed feature extraction in a p2p setting - a case study

Katharina Morik, Michael Wurst, K. Morik, 2007, Future Gener. Comput. Syst..

Information preserving multi-objective feature selection for unsupervised learning

Ingo Mierswa, Michael Wurst, M. Wurst, 2006, GECCO '06.

Aspect-Based Tagging for Collaborative Media Organization

Katharina Morik, Michael Wurst, Oliver Flasch, 2006, WebMine.

Ubiquitous Data

Rasmus Ulslev Pedersen, Andreas Hotho, Michael Wurst, 2010, Ubiquitous Knowledge Discovery.

A High-Order Discontinuous Galerkin CFD Solver for Turbulent Flows

Ewald Krämer, Michael Wurst, Manuel Keßler, 2016 .

Distributed collaborative structuring

Michael Wurst, 2008 .

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

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

Integrating Different Machine Learning Methods to Support Search in Cross-domain Information Sources - the Project AWAKE

Martin Schneider, Michael Wurst, 2002 .

Structuring music collections by exploiting peers' processing

Katharina Morik, Ingo Mierswa, Michael Wurst, 2005 .

Efficient Case Based Feature Construction

Ingo Mierswa, Michael Wurst, 2005, ECML.

Multi-objective frequent termset clustering

Michael Wurst, Katharina Morik, Andreas Kaspari, 2011, Knowledge and Information Systems.

Mining residential household information from low-resolution smart meter data

Francesco Fusco, Michael Wurst, Ji Won Yoon, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

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

Michael Wurst, M. Wurst, 2008 .

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

Katharina Morik, Jürgen Ziegler, Wolfgang Strauss, 2003, MuC.

IBM's Analytic Warehouse Cloud Service

Michael Wurst, Torsten Steinbach, 2014, GI-Jahrestagung.

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

Michael Wurst, Jasminko Novak, 2004, J. Univers. Comput. Sci..

Impacts of Rotational Grazing on Soil Carbon in Native Grass-Based Pastures in Southern Australia

Michael Wurst, Jenet Austin, Jonathan Sanderman, 2014, PloS one.