ECML PKDD 2008

• From Local Patterns to Global Models: The LeGo Approach to Data Mining
  A. Knobbe, B. Crémilleux, J. Fürnkranz and M. Scholz
• A General Framework for Learning an Ensemble of Decision Rules
  K. Dembczynski, W. Kotlowski and R. Slowinski
• A Generic Framework for Rule-Based Classification
  A. Giacometti, E. Khanjari Miyaneh, P. Marcel and A. Soulet
• Cascaded Subgroups Discovery with an Application to Regression
  H. Grosskreutz
• A Constraint-Based Approach for Multispace Clustering
  R.G. Pensa and M. Nanni
• Interactive HMM Construction Based on Interesting Sequences
  S. Jaroszewicz
• Classification by Pattern-Based Hierarchical Clustering
  H.H. Malik and J.R. Kender
• Instance Driven Hierarchical Clustering of Document Collections
  H.H. Malik and J.R. Kender
• Rectifying Predictions of Classifiers by Local Rules
  M. Mozina and I. Bratko
• Globalization of Local Models with SVMs
  S. Rüping
• A Comparison of Techniques for Selecting and Combining Class Association Rules
  J.-N. Sulzmann and J. Fürnkranz
• What matters: Size does, Smarts Don't
  A. Zimmermann and B. Bringmann

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.