Knowledge Discovery in Databases: PKDD 2006

1. Long Papers

   1. Distributed Subgroup Mining

      • Michael Wurst, Martin Scholz

      Pages 421-433

   2. Network Flow for Collaborative Ranking

      • Ziming Zhuang, Silviu Cucerzan, C. Lee Giles

      Pages 434-445

2. Short Papers

   1. Finding Hierarchies of Subspace Clusters

      • Elke Achtert, Christian Böhm, Hans-Peter Kriegel, Peer Kröger, Ina Müller-Gorman, Arthur Zimek

      Pages 446-453

   2. Integrating Pattern Mining in Relational Databases

      • Toon Calders, Bart Goethals, Adriana Prado

      Pages 454-461

   3. Discovering Patterns in Real-Valued Time Series

      • Joe Catalano, Tom Armstrong, Tim Oates

      Pages 462-469

   4. Classification of Dementia Types from Cognitive Profiles Data

      • Giorgio Corani, Chris Edgar, Isabelle Marshall, Keith Wesnes, Marco Zaffalon

      Pages 470-477

   5. When Efficient Model Averaging Out-Performs Boosting and Bagging

      • Ian Davidson, Wei Fan

      Pages 478-486

   6. Peak-Jumping Frequent Itemset Mining Algorithms

      • Nele Dexters, Paul W. Purdom, Dirk Van Gucht

      Pages 487-494

   7. Autonomous Visualization

      • Khalid El-Arini, Andrew W. Moore, Ting Liu

      Pages 495-502

   8. Naive Bayes for Text Classification with Unbalanced Classes

      • Eibe Frank, Remco R. Bouckaert

      Pages 503-510

   9. Knowledge-Conscious Data Clustering

      • Amol Ghoting, Srinivasan Parthasarathy

      Pages 511-519

   10. On the Lower Bound of Reconstruction Error for Spectral Filtering Based Privacy Preserving Data Mining

       • Songtao Guo, Xintao Wu, Yingjiu Li

       Pages 520-527

   11. Frequent Pattern Discovery Without Binarization: Mining Attribute Profiles

       • Attila Gyenesei, Ralph Schlapbach, Etzard Stolte, Ulrich Wagner

       Pages 528-535

   12. Efficient Name Disambiguation for Large-Scale Databases

       • Jian Huang, Seyda Ertekin, C. Lee Giles

       Pages 536-544

   13. Adaptive Segmentation-Based Symbolic Representations of Time Series for Better Modeling and Lower Bounding Distance Measures

       • Bernard Hugueney

       Pages 545-552

   14. A Feature Generation Algorithm for Sequences with Application to Splice-Site Prediction

       • Rezarta Islamaj, Lise Getoor, W. John Wilbur

       Pages 553-560

   15. Discovering Image-Text Associations for Cross-Media Web Information Fusion

       • Tao Jiang, Ah-Hwee Tan

       Pages 561-568

   16. Mining Sequences of Temporal Intervals

       • Steffen Kempe, Jochen Hipp

       Pages 569-576

   17. Pattern Teams

       • Arno J. Knobbe, Eric K. Y. Ho

       Pages 577-584

   18. Compression Picks Item Sets That Matter

       • Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes

       Pages 585-592

The two premier annual European conferences in the areas of machine learning anddatamining havebeencollocatedeversincethejointconferenceinFreiburg, Germany,2001. The European Conference on Machine Learning wasestablished 20 years ago, when the ?rst European Working Session on Learning was held in Orsay, France, in 1986. The conference is growing, and is more lively than ever. The European Conference on Principles and Practice of Knowledge Discovery in Databasescelebratesits tenth anniversary;the ?rst PKDD took place in 1997 in Trondheim, Norway. Over the years, the ECML/PKDD series has evolved into one of the largest and most selective international conferences in these areas, the only one that provides a common forum for the two closely related ?elds. In 2006, the 6th collocated ECML/PKDD took place during September 18-22, when the Humboldt-Universität zu Berlin hosted the 17th European Conference on Machine Learning (ECML) and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD). The successful model of a hierarchical reviewing process that was introduced last year for the ECML/PKDD 2005 in Porto has been taken over in 2006. We nominated 32 Area Chairs, each of them responsible for several closely related research topics. Suitable areas were selected on the basis of the submission s- tistics for ECML/PKDD 2005 to ensure a proper load balance among the Area Chairs. For the ?rst time, a joint Program Committee was nominated for the two conferences, consisting of 280 renowned researchers,mostly proposed by the AreaChairs.

• algorithmic learning
• algorithms
• association rule mining
• classification
• cluster analysis
• data analysis
• data mining
• database
• decision trees
• knowledge discovery
• modeling
• pattern mining
• relational database
• sensing
• visualization

• Knowledge Engineering Group, Technische Universität Darmstadt,  

  Johannes Fürnkranz

• Max Planck Institute for Computer Science, Saarbrücken, Germany

  Tobias Scheffer

• Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, Germany

  Myra Spiliopoulou

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