Monday, 18.09.2006
Location Audimax 2097 3059 1072 1070 2014b 3086 2014a 3088
9:00-10:30   Workshop Workshop Workshop Workshop Tutorial: Am easy Workshop Workshop
    Data and Text  Mining and Learning  Knowledge Discovery Parallel Data Mining  statistical theory for  Knowledge Web Mining 
10:30-11:00 Coffee Break Mining for in Graphs from Data Streams  Giuseppe Di Fatta, highly scalable learning  Discovery  Bettina Berendt, 
11:00-12:30   Integrative  Thomas Gärtner, Joao Gama,  Michael Berthold,  algorithms.  in Inductive  Andreas Hotho, 
12:30-14:00 Lunch Biology Gemma Garriga,  Jesus Aguilar-Ruiz, Srinivasan  Claudio Gentile Databases  Dunja Mladenic,
  (on your own) Melanie Hilario, Thorsten Meinl Tutorial Ralf Klinkenberg     Parthasarathy   Saso Dzeroski,  Giovanni
14:00-15:30   Claire Nedellec   Novel Aspects in       Tutorial Jan Struyf    Semeraro
        Unsupervised Learning     Agent Intelligence    
        Semi-Supervised and     Through Data Mining    
15:30-16:00 Coffee Break     Distributed Algorithms     Andreas Symeonidis,    
        D. Gunopulos, M.     Pericles A. Mitkas    
16:00-17:15       Vazirgiannis, M. Halkidi          
17:20-17:30 Opening (Audimax)
17:30-18:30 Keynote (Chair: Johannes Fürnkranz)
  Sebastian Thrun: Winning the Darpa Grand Challenge
18:30-21:00 Welcome Reception, Opernpalais

Tuesday, 19.09.2006
Location Audimax 2091 3094
9:00-10:00 Keynote (Chair: Tobias Scheffer)    
  C. Lee Giles: The Future of CiteSeer: CiteSeerX    
10:00-10:25 PKDD Award Session    
  k-Anonymous Decision Tree Induction    
  Arik Friedman, Assaf Schuster, Ran Wolff     
10:25-10:50 The Discrete Basis Problem. Pauli Miettinen,     
  Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila     
10:50-11:20 Coffee Break    
  Information Retrieval (Chair: Thomas Hofmann) Rules and Trees (Chair: Bernhard Pfahringer) Planning (Chair: Hans-Dieter Burkhard)
11:20-11:45 Clustering Scientific Literature using Sparse Citation Graph Analysis Why Is Rule Learning Optimistic and How to Correct It Improving Control-Knowledge Acquisition for Planning by 
  Levent Bolelli, Seyda Ertekin, C. Lee Giles  Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko  Active Learning. Raquel Fuentetaja, Daniel Borrajo 
11:45-12:10 A Discriminative Approach for the Retrieval of Images from Text Queries Automatically Evolving Rule Induction Algorithms Bandit Based Monte-Carlo Planning
  David Grangier, Florent Monay, Samy Bengio  Gisele Pappa, Alex Freitas  Levente Kocsis, Csaba Szepesvári 
12:10-12:35 Localized Alternative Cluster Ensembles for Collaborative Structuring Decision Trees for Hierarchical Multilabel Classification: Case Study in Functional Genomics Learning in One-Shot Strategic Form Games
  Michael Wurst, Katharina Morik, Ingo Mierswa  Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare  Alon Altman, Avivit Bercovici-Boden, Moshe Tennenholtz 
12:35-14:00 Lunch Break (on your own)  
14:00-14:10 Travel Award Ceremony  
14:10-15:40 ECML Poster Spotlights (Chair: Stefan Wrobel) Mining Strings, Trees, and Sequences (Chair: Joao Gama)  
14:10-15:35   Optimal String Mining under Frequency Constraints  
    Johannes Fischer, Volker Heun, Stefan Kramer   
15:35-16:00   VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequences  
    Bouchra Bouqata, Christopher Carothers, Boleslaw Szymanski, Mohammed Zaki   
16:00-16:25   Finding Trees from Unordered 0-1 Data  
    Hannes Heikinheimo, Heikki Mannila, Jouni Seppänen   
15:40-16:10 Coffee Break    
  Social Networks / Privacy (Chair: Padraig Cunningham) Genomics and Biotechnology (Chair: Melanie Hilario) Statistical, Bayesian Learning (Chair: Steffen Bickel)
16:10-16:35 Detecting Fraudulent Personalities in Networks of Online Auctioneers Pertinent Background Knowledge for Learning Protein Grammars. Christopher Bryant,  EM Algorithm for Symmetric Causal Independence Models
  Duen Horng Chau, Shashank Pandit, Christos Faloutsos  Daniel Fredouille, Alex Wilson, Channa Jayawickreme, Steven Jupe, Simon Topp  Rasa Jugelenaite, Tom Heskes 
16:35-17:00 Exploring Multiple Communities with Kernel-Based Link Analysis Unsupervised Multiple-Instance Learning for Functional Profiling of  Bayesian Learning with Mixtures of Trees
  Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto  Genomic Data. Corneliu Henegar, Karine Clement, Jean-Daniel Zucker  Jussi Kollin, Mikko Koivisto 
17:00-17:25 Tractable Models for Information Diffusion in Social Networks Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-induced  Mixtures of Kikuchi Approximations
  Masahiro Kimura, Kazumi Saito  Subgraphs. Duygu Ucar, Sitaram Asur, Umit Catalyurek, Srinivasan Parthasarathy  Roberto Santana, Pedro Larrañaga, Jose A. Lozano 
17:25-17:50 Attacker's View of Distance Preserving Maps For Privacy Preserving  Adaptive Active Classification of Cell Assay Images Bayesian Active Learning for Sensitivity Analysis
  Data Mining.  Kun Liu, Chris Giannella, Hillol Kargupta  Nicolas Cebron, Michael R. Berthold  Tobias Pfingsten 
19:00-22:00 Google ECML Poster Session, Kaisersaal
Wednesday, 20.09.2006
Location Audimax 2091 3094
9:00-10:00 Keynote (Chair: Johannes Fürnkranz)    
  Jonathan Schaeffer: Learning to Have Fun    
10:00-10:25 ECML Award Session  
  TildeCRF: Conditional Random Fields for Logical Sequences  
  Bernd Gutmann, Kristian Kersting   
10:25-10:50 Transductive Gaussian Process Regression with Automatic Model Selection  
  Quoc V. Le, Alex Smola, Thomas Gärtner, Yasemin Altun  
10:50-11:20 Coffee Break    
  Sequences and Structured Data (Chair: Ulf Brefeld) Learning Rankings (Chair: Katharina Morik) Control (Chair: Jose Balcazar)
11:20-11:45 Combinatorial Markov Random Fields Network Flow for Collaborative Ranking Skill Acquisition via Transfer Learning and Advice Taking
  Ron Bekkerman, Mehran Sahami, Erik Learned-Miller  Ziming Zhuang, Silviu Cucerzan, C. Lee Giles  Lisa Torrey, Jude Shavlik, Trevor Walker, Richard Maclin 
11:45-12:10 Sequence Discrimination Using Phase-type Distributions A Selective Sampling Strategy for Label-Ranking.  Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
  Jérôme Callut, Pierre Dupont  Massih Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari  Sébastien Jodogne, Cyril Briquet, Justus H. Piater 
12:10-12:35 Margin-based Active Learning for Structured Output Spaces Improving the Ranking Performance of Decision Trees Task-Driven Discretization of the Space of Visual Percepts
  Kevin Small, Dan Roth  Bin Wang, Harry Zhang  and Continuous Actions.  Sébastien Jodogne, Justus Piater 
12:35-14:00 Lunch Break (on your own)    
14:00-14:45 Discovery Challenge Control  (Chair: Ivan Bratko)  
14:00-14:25 Steffen Bickel, Gordon Cormack, Bernhard Pfahringer Patching Approximate Solutions in Reinforcement Learning  
    Min Sub Kim, William Uther   
14:25-14:50   Prioritized Value Iteration for POMDPs  
    Guy Shani, Ronen Brafman, Solomon Shimony   
14:45-15:50 PKDD Poster Spotlights (Chair: Luc De Raedt) Dimensionality Reduction (Chair: Irina Rish)  
14:50-15:15   RIVA: Indexing and Visualization of High-Dimensional Data via Dimension Reorderings  
    Michail Vlachos, Spiros Papadimitriou, Zografoula Vagena, Philip Yu   
15:15-15:40   K-Landmarks: Distributed Dimensionality Reduction for Clustering Quality  
    Panagis Magdalinos, Christos Doulkeridis, Michalis Vazirgiannis   
15:50-16:20 Coffee Break    
  Applications (Chair: Joost Kok) Semi-Supervised Learning (Chair: Volker Tresp) Clustering (Chair: Hiroshi Motoda)
16:20-16:45 Batch Classification with Applications in Computer Aided Diagnosis Graph Based Semi-Supervised Learning with Sharper Edges Measuring Constraint-Set Utility for Partitional Clustering Algorithms
  Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer Dy, Bharat Rao  HyunJung (Helen) Shin, Nicholas Jeremy Hill, Gunnar Rätsch  Ian Davidson, Kiri Wagstaff, Sugato Basu 
  Streams (Chair: Joost Kok) Relational, Graphical Models (Chair: Volker Tresp)  
16:45-17:10 An Adaptive Prequential Framework for Bayesian Network Classifiers Fisher Kernels for Relational Data An Adaptive Kernel Method for Semi-Supervised Clustering
  Gladys Castillo, João Gama  Uwe Dick, Kristian Kersting  Bojun Yan, Carlotta Domeniconi 
17:10-17:35 A Scalable Distributed Stream Mining System for Highway Traffic Data Refining Aggregate Conditions in Relational Learning Subspace Metric Ensembles for Semi-supervised Clustering 
  Ying Liu, Alok Choudhary, Jianhong Zhou, Ashfaq Khokhar  Celine Vens, Jan Ramon, Hendrik Blockeel  of High Dimensional Data.  Bojun Yan, Carlotta Domeniconi 
17:35-18:00 Evaluation of Summarization Schemes for Learning in Streams Fast Variational Inference for Gaussian Process Models through  Why does Subsequence Time-Series Clustering Produce 
  Alec Pawling, Nitesh Chawla, Amitabh Chaudhary  KL-Correction. Nathaniel King, Neil Lawrence  Sine Waves?  Tsuyoshi Ide 
19:00-22:00 PKDD Poster Session and KD-Ubiq EU Project Posters, Rotes Rathaus
Thursday, 21.09.2006
Location Audimax 2091 3094
9:00-10:00 Keynote (Chair: Myra Spiliopoulou)    
  Henry Tirri: Challenges of Urban Sensing    
10:10:25 ECML/PKDD Award Session    
  Languages as Hyperplanes: Grammatical Inference with String Kernels    
  Alexander Clark, Christophe Costa Florencio, Chris Watkins     
10:25-10:50 Measuring to Fit: Virtual Tailoring through Clustering and Classification    
  Herna Viktor, Eric Paquet, Hongyu Guo     
10:50-11:20 Coffee Break    
  Mining Links and Networks (Chair: Dunja Mladenic) Pattern Discovery (Chair: Hannu Toivonen) Supervised Learning (Chair: Thomas Gärtner)
11:20-11:45 Information Marginalization on Subgraphs. Jiayuan Huang,  Don't Be Afraid of Simpler Patterns Evaluating Misclassifications in Imbalanced Data
  Tingshao Zhu, Russell Greiner, Dale Schuurmans, Dengyong Zhou  Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen  William Elazmeh, Nathalie Japkowicz, Stan Matwin 
11:45-12:10 Learning in Entity-relationship Graphs from Ranking Preferences Closed Sets for Labeled Data Multiple-Instance Learning via Random Walk
  Soumen Chakrabarti, Alekh Agarwal  Gemma Garriga, Petra Kralj, Nada Lavrac  Dong Wang, Jianmin Li, Bo Zhang 
12:10-12:35 Web Communities Identification from Random Walks SD-Map - A Fast Algorithm for Exhaustive Subgroup Discovery Constant Rate Approximate Maximum Margin Algorithms
  Jiayuan Huang, Tingshao Zhu, Dale Schuurmans  Martin Atzmueller, Frank Puppe  Petroula Tsampouka, John Shawe-Taylor 
12:35-14:00 Lunch Break (on your own)    
  Text (Chair: Stan Matwin) Bayesian Networks (Chair: Kristian Kersting) Pattern Discovery (Chair: Jean-Francois Boulicaut)
14:00-14:25 Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees Improving Bayesian Network Structure Search with Random  Distributed Subgroup Discovery
  Alessandro Moschitti  Variable Aggregation Hierarchies. John Burge, Terran Lane  Michael Wurst, Martin Scholz 
14:25-14:50 Transductive Learning for Text Classification using Explicit Knowledge Models Bayesian Learning of Markov Network Structure Distribution Rules with Numeric Attributes of Interest
  Georgiana Ifrim, Gerhard Weikum  Aleks Jakulin, Irina Rish  Alípio M. Jorge, Paulo J. Azevedo, Fernando Pereira 
14:50-15:15 Distributional Features for Text Categorization Learning Markov Models with Hidden State Group SAX: Extending the Notion of Contrast Sets to Time 
  Xiao-Bing Xue, Zhi-Hua Zhou  Ricard Gavalda, Philipp Keller, Joelle Pineau, Doina Precup Series and Multimedia Data.  Jessica Lin, Eamonn Keogh 
15:15-15:45 Coffee Break    
  Spatial Data (Chair: Gerhard Paaß) Explanation-Based Learning (Chair: Ramon Lopez de Mantaras) Ensembles (Chair: Eibe Frank)
15:45-16:10 Efficient Spatial Classification using Decoupled Conditional Random Fields Toward Robust Real-World Inference: A New Perspective on  Ensembles of Nearest Neighbor Forecasts
  Chi-Hoon Lee, Russell Greiner, Osmar Zaiane  Explanation-Based Learning.  Gerald DeJong  Dragomir Yankov, Dennis DeCoste, Eamonn Keogh
    Information Retrieval (Chair: Ramon Lopez de Mantaras) Boosting in PN Spaces
16:10-16:35 Efficient Mining of Correlation Patterns in Spatial Point Data Learning Stochastic Tree Edit Distance Martin Scholz 
  Marko Salmenkivi  Marc Bernard, Amaury Habrard, Marc Sebban  To Select or To Weigh: A Comparative Study of Model Selection and Model 
16:35-17:00 Discovery of Interesting Regions in Spatial Data Sets Using Supervised  Deconvolutive Clustering of Markov States    Weighing for SPODE Ensembles. Ying Yang, Geoff Web, Jesus Cerquides, 
  Clustering. Christoph Eick, Banafsheh Vaezian, Dan Jiang, Jing Wang  Ata Kaban, Xin Wang     Kevin Korb, Janice Boughton, Kai Ming Ting
17:10-18:40 ECML/PKDD Community Meeting - open to all, please attend!
  Agenda: Report from 2006 Program Chairs; election of Chairs and
  location for ECML/PKDD 2008; future proceedings format and publisher.
18:40-23:30 Banquet, Zitadelle Spandau

Friday, 22.09.2006  
Loacation Audimax 2091/92,  3094/96 2097 3059 1072 1070 2014b 3086
9:00-10:00 Keynote (Chair: Myra Spiliopoulou)          
  Charu Aggarwal: On Temporal Evolution in Data Streams        
10:00-10:10 Presentation Awards     Tutorial Tutorial Workshop/Tutorial Tutorial Workshop Workshop
10:10-10:40 Coffee Break Workshop Workshop Machine Learning of  Randomization Based Autonomic Computing: Cryptographic techniques  Ubiquitous Knowledge  April II
10:40-12:10   Practical Data Mining:  Discovery Natural Language Privacy Preserving  A New Challenge in privacy-preserving  Discovery for Users  Luc De Raedt, 
12:10-13:30 Lunch Break Applications, Experiences Challenge  Walter Daelemans, Data Mining for Machine Learning data-mining Bettina Berendt,  Francois Fages, 
13:30-15:00   and Challenges  Steffen Bickel Antal van den Bosch Xintao Wu Irina Rish, Rajarshi Helger Lipmaa Ernestina Paolo Frasconi, 
15:00-15:30 Coffee Break Markus Ackermann,      Das, Gerry Tesauro,       Menasalvas Heiki Mannila, 
15:30-18:00   Carlos Soares     Jeff Kephart   St. Muggleton, 
                Mike Sternberg
Saturday, 23.09.2006                      
KD Ubiq Schedule     
   
Sunday, 17.09.2006 Monday, 18.09.2006 Tuesday, 19.09.2006 Wednesday, 20.09.2006 Saturday, 23.09.2006
Location Sofitel Location 3092 Location 3092 Location Rotes Rathaus Location 3092
14:40-18:00 WG3: Learning  9:00-18:00 KD-Ubiq 11:30-16:00 WG5: Privacy from 19:00 EU Projecs Poster Session 9:30-14:30 WG6: HCI and
  Methods and Data   Meeting   and Security   Cognitive 
  Streams   Room   Fosca Gianotti   Modelling
  Joao Gama   Yücel Saygin   Bettina Berendt, 
  from 19:45 Management   Ernestina
    Board Meeting      Menasalvas