| Tuesday, 19.09.2006 |
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| Location |
Audimax |
2091 |
3094 |
| 9:00-10:00 |
Keynote (Chair:
Tobias Scheffer) |
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C. Lee Giles: The Future of
CiteSeer: CiteSeerX |
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| 10:00-10:25 |
PKDD Award Session |
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k-Anonymous Decision Tree
Induction |
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Arik
Friedman, Assaf Schuster, Ran Wolff |
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| 10:25-10:50 |
The Discrete Basis Problem. Pauli
Miettinen, |
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Taneli
Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila |
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| 10:50-11:20 |
Coffee Break |
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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 |
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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 |
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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 |
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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) |
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| 14:00-14:10 |
Travel Award Ceremony |
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| 14:10-15:40 |
ECML Poster Spotlights (Chair: Stefan Wrobel) |
Mining Strings, Trees, and
Sequences (Chair: Joao Gama) |
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| 14:10-15:35 |
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Optimal String Mining under
Frequency Constraints |
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Johannes Fischer,
Volker Heun, Stefan Kramer |
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| 15:35-16:00 |
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VOGUE: A Novel Variable Order-Gap
State Machine for Modeling Sequences |
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Bouchra
Bouqata, Christopher Carothers, Boleslaw Szymanski, Mohammed Zaki |
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| 16:00-16:25 |
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Finding Trees from Unordered 0-1
Data |
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Hannes
Heikinheimo, Heikki Mannila, Jouni Seppänen |
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| 15:40-16:10 |
Coffee Break |
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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 |
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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 |
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Data Mining. Kun Liu, Chris Giannella, Hillol
Kargupta |
Nicolas Cebron, Michael R.
Berthold |
Tobias
Pfingsten |
| 19:00-22:00 |
Google ECML Poster Session,
Kaisersaal |
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| Wednesday, 20.09.2006 |
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| Location |
Audimax |
2091 |
3094 |
| 9:00-10:00 |
Keynote (Chair:
Johannes Fürnkranz) |
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Jonathan Schaeffer: Learning to
Have Fun |
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| 10:00-10:25 |
ECML Award Session |
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TildeCRF: Conditional Random Fields for Logical Sequences |
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Bernd Gutmann,
Kristian Kersting |
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| 10:25-10:50 |
Transductive Gaussian Process Regression with Automatic
Model Selection |
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Quoc V. Le, Alex Smola, Thomas Gärtner, Yasemin Altun |
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| 10:50-11:20 |
Coffee Break |
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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 |
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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 |
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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 |
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Kevin Small, Dan Roth |
Bin Wang, Harry Zhang |
and Continuous Actions. Sébastien Jodogne,
Justus Piater |
| 12:35-14:00 |
Lunch Break
(on your own) |
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| 14:00-14:45 |
Discovery Challenge |
Control (Chair: Ivan Bratko) |
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| 14:00-14:25 |
Steffen Bickel, Gordon Cormack, Bernhard Pfahringer |
Patching Approximate Solutions in Reinforcement Learning |
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Min Sub Kim, William Uther |
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| 14:25-14:50 |
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Prioritized Value Iteration for
POMDPs |
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Guy Shani, Ronen Brafman,
Solomon Shimony |
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| 14:45-15:50 |
PKDD Poster Spotlights (Chair: Luc De Raedt) |
Dimensionality
Reduction (Chair: Irina Rish) |
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| 14:50-15:15 |
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RIVA: Indexing and Visualization
of High-Dimensional Data via Dimension Reorderings |
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Michail
Vlachos, Spiros Papadimitriou, Zografoula Vagena, Philip Yu |
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| 15:15-15:40 |
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K-Landmarks: Distributed
Dimensionality Reduction for Clustering Quality |
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Panagis
Magdalinos, Christos Doulkeridis, Michalis Vazirgiannis |
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| 15:50-16:20 |
Coffee Break |
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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 |
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Volkan
Vural, Glenn Fung, Balaji Krishnapuram, Jennifer Dy, Bharat Rao |
HyunJung
(Helen) Shin, Nicholas Jeremy Hill, Gunnar Rätsch |
Ian
Davidson, Kiri Wagstaff, Sugato Basu |
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Streams (Chair:
Joost Kok) |
Relational, Graphical Models (Chair: Volker Tresp) |
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| 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 |
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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 |
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| Thursday, 21.09.2006 |
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| Location |
Audimax |
2091 |
3094 |
| 9:00-10:00 |
Keynote (Chair:
Myra Spiliopoulou) |
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Henry Tirri: Challenges of Urban
Sensing |
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| 10:10:25 |
ECML/PKDD Award Session |
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Languages as Hyperplanes: Grammatical Inference with
String Kernels |
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Alexander
Clark, Christophe Costa Florencio, Chris Watkins |
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| 10:25-10:50 |
Measuring to Fit: Virtual Tailoring through Clustering and
Classification |
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Herna
Viktor, Eric Paquet, Hongyu Guo |
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| 10:50-11:20 |
Coffee Break |
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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 |
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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 |
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Jiayuan
Huang, Tingshao Zhu, Dale Schuurmans |
Martin Atzmueller, Frank Puppe |
Petroula Tsampouka, John
Shawe-Taylor |
| 12:35-14:00 |
Lunch Break (on your own) |
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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 |
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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 |
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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 |
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Chi-Hoon
Lee, Russell Greiner, Osmar Zaiane |
Explanation-Based Learning. Gerald DeJong |
Dragomir Yankov, Dennis DeCoste, Eamonn Keogh |
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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 |
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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, |
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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! |
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Agenda: Report from 2006 Program Chairs; election of
Chairs and |
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location for ECML/PKDD 2008; future proceedings format and
publisher. |
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| 18:40-23:30 |
Banquet, Zitadelle Spandau |
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