2007 |
20 | EE | Michael Wurst:
Multi-agent Learning by Distributed Feature Extraction.
Adaptive Agents and Multi-Agents Systems 2007: 239-254 |
19 | | Andreas Kaspari,
Michael Wurst:
Multi-objective Frequent Termset Clustering.
LWA 2007: 133-140 |
18 | EE | Katharina Morik,
Michael Wurst:
Multi-Aspect Tagging for Collaborative Structuring.
Parallel Universes and Local Patterns 2007 |
17 | EE | Michael Wurst,
Katharina Morik:
Distributed feature extraction in a p2p setting - a case study.
Future Generation Comp. Syst. 23(1): 69-75 (2007) |
2006 |
16 | EE | Michael Wurst,
Katharina Morik,
Ingo Mierswa:
Localized Alternative Cluster Ensembles for Collaborative Structuring.
ECML 2006: 485-496 |
15 | EE | Ingo Mierswa,
Michael Wurst:
Information preserving multi-objective feature selection for unsupervised learning.
GECCO 2006: 1545-1552 |
14 | EE | Sascha Hennig,
Michael Wurst:
Incremental Clustering of Newsgroup Articles.
IEA/AIE 2006: 332-341 |
13 | EE | Ingo Mierswa,
Michael Wurst,
Ralf Klinkenberg,
Martin Scholz,
Timm Euler:
YALE: rapid prototyping for complex data mining tasks.
KDD 2006: 935-940 |
12 | EE | Ingo Mierswa,
Michael Wurst:
Sound Multi-objective Feature Space Transformation for Clustering.
LWA 2006: 330-337 |
11 | EE | Michael Wurst,
Martin Scholz:
Distributed Subgroup Mining.
PKDD 2006: 421-433 |
10 | EE | Oliver Flasch,
Andreas Kaspari,
Katharina Morik,
Michael Wurst:
Aspect-Based Tagging for Collaborative Media Organization.
WebMine 2006: 122-141 |
9 | EE | Michael Wurst:
Analysis and evaluation of distributed knowledge management by agent-based simulation.
KES Journal 10(4): 307-317 (2006) |
2005 |
8 | EE | Ingo Mierswa,
Michael Wurst:
Efficient Case Based Feature Construction.
ECML 2005: 641-648 |
7 | EE | Helge Homburg,
Ingo Mierswa,
Bülent Möller,
Katharina Morik,
Michael Wurst:
A Benchmark Dataset for Audio Classification and Clustering.
ISMIR 2005: 528-531 |
6 | EE | Jasminko Novak,
Michael Wurst:
Collaborative Knowledge Visualization for Cross-Community Learning.
Knowledge and Information Visualization 2005: 95-116 |
2004 |
5 | EE | Jasminko Novak,
Michael Wurst:
Supporting Knowledge Creation and Sharing in Communities Based on Mapping Implicit Knowledge.
J. UCS 10(3): 235-251 (2004) |
2003 |
4 | EE | Jasminko Novak,
Michael Wurst,
Monika Fleischmann,
Wolfgang Strauss:
Discovering, Visualizing, and Sharing Knowledge through Personalized Learning Knowledge Maps.
AMKM 2003: 213-228 |
3 | EE | João José Vasco Furtado,
Ira J. Haimowitz,
Michael Wurst:
Knowledge Discovery in Databases and Agent-Mediated Knowledge Management.
AMKM 2003: 339-350 |
2 | EE | Jasminko Novak,
Monika Fleischmann,
Wolfgang Strauss,
Michael Wurst,
Katharina Morik,
Christoph Kunz,
Jürgen Ziegler:
Verbindung heterogener Experten-Communities durch die Entdeckung, Visualisierung und Nutzbarmachung von stillem Wissen -- das AWAKE Projekt.
Mensch & Computer 2003 |
1 | EE | Jasminko Novak,
Christoph Kunz,
Michael Wurst:
Entdeckung und Nutzbarmachung von stillem Wissen in heterogenen Expertengemeinschaften - das Projekt AWAKE.
i-com 3(3): 18-26 (2003) |