- Sampling Very Large Databases for Parallel and Distributed Relational Frequent Pattern Discovery
A. Appice, M. Ceci, A. Turi, and D. Malerba
- PSO driven collaborative clustering: A clustering algorithm for ubiqutious environments
B. Depaire, R. Falcon, K. Vanhoof, and G. Wets
- Parallelization of R-programs with GridR in a GPS-trajectory mining application
D. Wegener, D. Hecker, C. Körner, M. May, and M. Mock
- Context-aware recommendations in ubiqutious devices
E. Menasalvas, S. Eibe, J. Gomes, and A. Zanda
- Improving Document Similarity Measurement for Mobile Environment with Document Extension
K. Csorba, and I. Vajk
- Mining Recent Frequent Itemsets in Data Streams with Optimistic Pruning
K. Li, Y. Wang, X. Li, and H. Wang
- Where in the sensor network should the join be computed, after all?
M. Stern, E. Buchmann, and K. Böhm
- Application of Online Regression Tree Induction to Forecast Traffic Flows
M. Vanhulsel, D. Janssens, K. Vanhoof, and G. Wets
- Towards Distributed Clustering of Streaming Sensors
P. Rodrigues, J. Gama, and L. Lopes
- MicroInformation Systems: Toward an experimental platform
R. U. Pedersen
Note: ECML PKDD workshop papers should be considered informal technical
reports describing ongoing research. They are not to be considered papers at
the main ECML PKDD conference, and have not gone through the main ECML PKDD
reviewing procedure.
