Full Schedule


Monday 15 September

Tutorials

Monday 15 September
All Day
Location: R building

morningApplied Text Mining
Room: R014
View abstract
morningMobility, Data Mining and Privacy
Room: R007
View abstract
morningEmbedded Machine Learning: Using Support Vector Machines in Wireless Sensor Networks using TinyOS and Lego Mindstorms NXT
Room: R008
View abstract
afternoonKnowledge Discovery from Evolving Data
Room: R014
View abstract
afternoonText Mining and Link Analysis for Web and Semantic Web
Room: R007
View abstract
afternoonLogical and Relational Learning: A New Synthesis
Room: R008
View abstract

Workshops

Monday 15 September
All Day
Location: R building

all dayNew Challenges for Feature Selection in Data Mining and Knowledge Discovery
Room: R001
Website
all dayFrom Local Patterns to Global Models
Room: R002
Website
all dayThird Generation Data Mining: Towards Service-oriented Knowledge Discovery
Room: R012
Website
all dayInduction of Process Models
Room: R013
Website
all dayWikis, Blogs, Bookmarking Tools - Mining the Web 2.0 + Discovery Challenge
Room: R004
Website

Opening and Awards

Monday 15 September
17:20 - 18:00
Location: Aula Rector Dhanis

Invited Talk

Monday 15 September
18:00 - 19:00
Location: Aula Rector Dhanis

Session chair: Katharina Morik


18:00Data Clustering: 50 Years Beyond K-means
Anil K. Jain - Michigan State University, USA
View abstract

Welcome Reception

Monday 15 September
19:00 - ?
Location: Aula Rector Dhanis

Tuesday 16 September

Invited Talk

Tuesday 16 September
09:00 - 10:00
Location: Aula Rector Dhanis

Session chair: Walter Daelemans


09:00Learning Language from its Perceptual Context
Raymond J. Mooney - University of Texas at Austin, USA
View abstract

Graph Mining

Tuesday 16 September
10:40 - 12:20
Location: R001

Session chair: Siegfried Nijssen


10:40Finding Reliable Subgraphs from Large Probabilistic Graphs
Petteri Hintsanen, Hannu Toivonen
View abstract
11:00Effective Pruning Techniques for Mining Quasi-cliques
Guimei Liu, Limsoon Wong
View abstract
11:20Mining Frequent Connected Subgraphs Reducing the Number of Candidates
Andrés Gago Alonso, José E. Medina Pagola, J. Ariel Carrasco-Ochoa, J. Fco. Martínez-Trinidad
View abstract
11:40Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth
Tamas Horvath, Jan Ramon
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12:00SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs
Apostolos Papadopoulos, Apostolos Lyritsis, Yannis Manolopoulos
View abstract

Support Vector Machines

Tuesday 16 September
10:40 - 12:20
Location: R002

Session chair: Fabio Aiolli


10:40Improving Classification with Pairwise Constraints: A Margin-based Approach
Nam Nguyen, Rich Caruana
View abstract
11:00Exact and Approximate Inference for Annotating Graphs with Structural SVMs
Thoralf Klein, Ulf Brefeld, Tobias Scheffer
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11:20A Fast Method for Training Linear SVM in the Primal
Trinh-Minh-Tri Do, Thierry Artieres
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11:40Cascade RSVM in Peer-to-Peer Networks
Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng
View abstract
12:00Sequence Labelling SVMs Trained in One Pass
Antoine Bordes, Nicolas Usunier, Leon Bottou
View abstract

Classification 1

Tuesday 16 September
10:40 - 12:20
Location: R014

Session chair: Stefan Rueping


10:40Incremental Exemplar Learning Schemes for Classification on Embedded Devices
Ankur Jain, Daniel Nikovski
View abstract
11:00Client-Friendly Classification over Random Hyperplane Hashes
Shyamsundar Rajaram, Martin Scholz
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11:20Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain
Eneldo Loza Mencía, Johannes Fürnkranz
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11:40Classification of Multi-Labeled Data: A Generative Approach
Andreas P. Streich, Joachim M. Buhmann
View abstract
12:00TOPTMH: Topology Predictor for Transmembrane Alpha Helices
Rezwan Ahmed, Huzefa Rangwala, George Karypis
View abstract

Matrix Factorization

Tuesday 16 September
14:00 - 15:20
Location: R001

Session chair: Jouni Seppanen


14:00The Boolean Column and Column-Row Matrix Decompositions
Pauli Miettinen
View abstract
14:20A Unified View of Matrix Factorization Models
Ajit P. Singh, Geoffrey J. Gordon
View abstract
14:40Improving Maximum Margin Matrix Factorization
Markus Weimer, Alexandros Karatzoglou, Alex Smola
View abstract
15:00Learning Bidirectional Similarity for Collaborative Filtering
Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen
View abstract

Bayesian Nets

Tuesday 16 September
14:00 - 15:20
Location: R002

Session chair: Arno Siebes


14:00Distribution-free Learning of Bayesian Network Structure
Xiaohai Sun
View abstract
14:20Continuous Time Bayesian Networks for Host Level Network Intrusion Detection
Jing Xu, Christian R. Shelton
View abstract
14:40Credal Model Averaging: an Extension of Bayesian Model Averaging to Imprecise Probabilities
Giorgio Corani, Marco Zaffalon
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15:00New Closed-form Bounds on the Partition Function
Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri
View abstract

Transfer Learning

Tuesday 16 September
14:00 - 15:20
Location: R014

Session chair: George Forman


14:00Actively Transfer Domain Knowledge
Xiaoxiao Shi, Wei Fan, Jiangtao Ren
View abstract
14:20An Algorithm for Transfer Learning in a Heterogeneous Environment
Andreas Argyriou, Andreas Maurer, Massimiliano Pontil
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14:40Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer
Eric Eaton, Marie desJardins, Terran Lane
View abstract
15:00Kernel-Based Inductive Transfer
Ulrich Rückert, Stefan Kramer
View abstract

Dimensionality Reduction

Tuesday 16 September
16:00 - 17:20
Location: R001

Session chair: Dit-Yan Yeung


16:00Distortion-Free Nonlinear Dimensionality Reduction
Yangqing Jia, Zheng Wang, Changshui Zhang
View abstract
16:20Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis
Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton
View abstract
16:40Transferred Dimensionality Reduction
Zheng Wang, Yangqiu Song, Changshui Zhang
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17:00Semi-Supervised Discriminant Analysis via CCCP
Yu Zhang, Dit-Yan Yeung
View abstract

Reinforcement Learning 1

Tuesday 16 September
16:00 - 17:20
Location: R002

Session chair: Ann Nowé


16:00Rollout Sampling Approximate Policy Iteration
Christos Dimitrakakis, Michail G. Lagoudakis
View abstract
16:20Multiagent Reinforcement Learning for Urban Traffic Control using Coordination Graphs
Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos Vlassis
View abstract
16:40Transferring Instances for Model-Based Reinforcement Learning
Matthew E. Taylor, Nicholas K. Jong, Peter Stone
View abstract
17:00Online Multiagent Learning against Memory Bounded Adversaries
Doran Chakraborty, Peter Stone
View abstract

Discovery

Tuesday 16 September
16:00 - 17:20
Location: R014

Session chair: Szymon Jaroszewicz


16:00Mining Edge-Weighted Call Graphs to Localise Software Bugs
Frank Eichinger, Klemens Böhm, Matthias Huber
View abstract
16:20Exceptional Model Mining
Dennis Leman, Ad Feelders, Arno Knobbe
View abstract
16:40Tight Optimistic Estimates for Fast Subgroup Discovery
Henrik Grosskreutz, Stefan Ruping, Stefan Wrobel
View abstract
17:00Multiple Manifold Learning Framework based on Hierarchical Mixture Density Model
Xiaoxia Wang, Peter Tino, Mark A. Fardal
View abstract

GREAT08 PASCAL Challenge

Tuesday 16 September
17:20 - 18:00
Location: R001

Poster Reception 1

Tuesday 16 September
19:00 - ?
Location: Stuurboord

Wednesday 17 September

Invited Talk

Wednesday 17 September
09:00 - 10:00
Location: Aula Rector Dhanis

Session chair: Bart Goethals


09:00Industrializing Data Mining, Challenges and Perspectives
Françoise Fogelman-Soulie - KXEN, France
View abstract

Kernel Methods

Wednesday 17 September
10:40 - 12:00
Location: R001

Session chair: Ulf Brefeld


10:40On the equivalence of the SMO and MDM Algorithms for SVM Training
Jose R. Dorronsoro, Alvaro Barbero, Jorge Lopez
View abstract
11:00Support Vector Machines, Data Reduction, and Approximate Kernel Matrices
XuanLong Nguyen, Ling Huang, Anthony D. Joseph
View abstract
11:20Catenary Support Vector Machines
Kin Fai Kan, Christian R. Shelton
View abstract
11:40Assessing Nonlinear Granger Causality from Multivariate Time Series
Xiaohai Sun
View abstract

Mining Sequences and Streams

Wednesday 17 September
10:40 - 12:00
Location: R002

Session chair: Jean-Francois Boulicaut


10:40A Case Study in Sequential Pattern Mining for IT-Operational Risk
Valerio Grossi, Andrea Romei, Salvatore Ruggieri
View abstract
11:00Mining Conjunctive Sequential Patterns
Chedy Raissi, Toon Calders, Pascal Poncelet
View abstract
11:20StreamKrimp: Detecting Change in Data Streams
Matthijs van Leeuwen, Arno Siebes
View abstract
11:40Two heads better than one: Pattern Discovery in Time-evolving Multi-Aspect Data
Jimeng Sun, Tina Eliassi-Rad, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos
View abstract

Industrial Session 1

Wednesday 17 September
10:40 - 12:00
Location: R014

Session chair: Marco Saerens


10:40Fraud Risk Management in Practice
Serge Waterschoot, Security - Atos Worldline SA/NV
View abstract
11:20From Yale to RapidMiner: A Guide on How to Live on Free Data Mining Software
Ingo Mierswa, Rapid-I GmbH
View abstract

Demo 1

Wednesday 17 September
10:40 - 12:00
Location: R012

10:40SEDiL: Software for Edit Distance Learning
Laurent Boyer, Yann Esposito, Amaury Habrard, Jose Oncina, Marc Sebban
View abstract

Demo 2

Wednesday 17 September
10:40 - 12:00
Location: R013

10:40A Visualization-Based Exploratory Technique for Classifier Comparison with respect to Multiple Metrics and Multiple Domains
Rocio Alaiz-Rodriguez, Nathalie Japkowicz, Peter Tischer
View abstract

Classifier Evaluation

Wednesday 17 September
14:00 - 15:20
Location: R001

Session chair: Johannes Fürnkranz


14:00A Critical Analysis of Variants of the AUC
Stijn Vanderlooy, Eyke Huellermeier
View abstract
14:20A Projection-Based Framework for Classifier Performance Evaluation
Nathalie Japkowicz, Pritika Sanghi, Peter Tischer
View abstract
14:40Combining Classifiers through Triplet-based Belief Functions
Yaxin Bi, Shengli Wu, Xuhui Shen, Pan Xiong
View abstract
15:00Proper Model Selection with Significance Test
Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin
View abstract

Clustering 1

Wednesday 17 September
14:00 - 15:20
Location: R002

Session chair: Andreas Hotho


14:00Unsupervised Riemannian Clustering of Probability Density Functions
Alvina Goh, René Vidal
View abstract
14:20Hierarchical Distance-based Conceptual Clustering
Ana Maria Funes, Cesar Ferri, Jose Hernandez-Orallo, Maria Jose Ramirez-Quintana
View abstract
14:40Clustering via Local Regression
Jun Sun, Zhiyong Shen, Hui Li, Yidong Shen
View abstract
15:00Parallel Spectral Clustering
Yangqiu Song, Wen-Yen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang
View abstract

Industrial Session 2

Wednesday 17 September
14:00 - 15:20
Location: R014

Session chair: Alejandro Jaimes Larrarte


14:00Machine Learning Considered Effective for Commercial Document Understanding Systems
Jakub Zavrel, Textkernel BV
View abstract
14:40Semantic Unification in a Real-World Data Flow for Delivering Business Intelligence
Bart Naudts, MDC Partners CVBA, Belgium
View abstract

Demo 3

Wednesday 17 September
14:00 - 15:20
Location: R012

14:00Monitoring Patterns through an Integrated Management and Mining Tool
Evangelos E. Kotsifakos, Irene Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis
View abstract

Demo 4

Wednesday 17 September
14:00 - 15:20
Location: R013

14:00SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model
Jörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer
View abstract

Regression

Wednesday 17 September
16:00 - 17:20
Location: R001

Session chair: Tobias Scheffer


16:00Pool-based Agnostic Experiment Design in Linear Regression
Masashi Sugiyama, Shinichi Nakajima
View abstract
16:20Learning to Predict One or More Ranks in Ordinal Regression Tasks
Jaime Alonso, Juan José Del Coz, Jorge Díez, Oscar Luaces, Antonio Bahamonde
View abstract
16:40Nonstationary Gaussian Process Regression using Point Estimates of Local Smoothness
Christian Plagemann, Kristian Kersting, Wolfram Burgard
View abstract
17:00Learning with $L_{q<1}$ vs $L_1$-norm regularisation with exponentially many irrelevant features
Ata Kaban, Robert Durrant
View abstract

Classification 2

Wednesday 17 September
16:00 - 17:20
Location: R002

Session chair: Hendrik Blockeel


16:00Learning Decision Trees for Unbalanced Data
David A. Cieslak, Nitesh V. Chawla
View abstract
16:20One-class Classification by Combining Density and Class Probability Estimation
Kathryn Hempstalk, Eibe Frank, Ian H. Witten
View abstract
16:40Ranking the Uniformity of Interval Pairs
Jussi Kujala, Tapio Elomaa
View abstract
17:00An Improved Multi-task Learning Approach with Applications in Medical Diagnosis
Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, Bharat Rao
View abstract

Industrial Session 3

Wednesday 17 September
16:00 - 17:20
Location: R014

Session chair: Marko Grobelnik


16:00Using Data Mining to Successfully Conquer Foreign Markets: A Real Case Study
Thierry Van de Merckt, VADIS Consulting SA/NV
View abstract
16:40Mining for Learning in European Research
Walter Van de Velde, European Commission
View abstract

Demo 5

Wednesday 17 September
16:00 - 17:20
Location: R012

16:00A Knowledge-based Digital Dashboard for Higher Learning Institutions
Wan Maseri B. Wan Mohd, Abdullah B. Embong, Jasni B. Mohd Zain
View abstract

Demo 6

Wednesday 17 September
16:00 - 17:20
Location: R013

16:00Pleiades: Subspace Clustering and Evaluation
Ira Assent, Emmanuel Muller, Ralph Krieger, Timm Jansen, Thomas Seidl
View abstract

Guided Tour through the Historic City Center of Antwerp

Wednesday 17 September
17:20 - 19:00
Location: Antwerp

The tour guides will pick up participants at the entrance of the R building. Groups of 20 people leave the campus as of 17:20. The tour ends at the Grand Cafe Horta, where the banquet takes place.

Diamond Cocktail & Banquet

Wednesday 17 September
19:00 - ?
Location: Grand Cafe Horta

Thursday 18 September

Invited Talk

Thursday 18 September
09:00 - 10:00
Location: Aula Rector Dhanis

Session chair: Bart Goethals


09:00The Role of Hierarchies in Exploratory Data Mining
Raghu Ramakrishnan - Yahoo! Research, Santa Clara, CA, USA
View abstract

Learning and Mining Text and NLP

Thursday 18 September
10:40 - 12:20
Location: R001

Session chair: Antal van den Bosch


10:40A Genetic Algorithm for Text Classification Rule Induction
Adriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu
View abstract
11:00A Joint Topic and Perspective Model for Ideological Discourse
Wei-Hao Lin, Eric Xing, Alexander Hauptmann
View abstract
11:20Towards Machine Learning of Grammars and Compilers of Programming Languages
Katsuhiko Nakamura, Keita Imada
View abstract
11:40A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis
Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong Wu
View abstract
12:00Bootstrapping Information Extraction from Semi-structured Web Pages
Andrew Carlson, Charles Schafer
View abstract

Semi Supervised Learning

Thursday 18 September
10:40 - 12:20
Location: R002

Session chair: Dunja Mladenic


10:40Semi-Supervised Boosting for Multi-Class Classification
Hamed Valizadegan, Rong Jin, Anil K. Jain
View abstract
11:00Semi-supervised Classification from Discriminative Random Walks
Jerome Callut, Kevin Francoisse, Marco Saerens, Pierre Dupont
View abstract
11:20Online Manifold Regularization: A New Learning Setting and Empirical Study
Andrew B. Goldberg, Ming Li, Xiaojin Zhu
View abstract
11:40Watch, Listen & Learn: Co-training on Captioned Images and Videos
Sonal Gupta, Joohyun Kim, Kristen Grauman, Raymond Mooney
View abstract
12:00Large Margin vs. Large Volume in Transductive
Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik
View abstract

Similarity Based Methods

Thursday 18 September
10:40 - 12:20
Location: R014

Session chair: Eyke Hüllermeier


10:40Improving k-Nearest Neighbour Classification with Distance Functions based on Receiver Operating Characteristics
Md. Rafiul Hassan, M. Maruf Hossain, James Bailey, Kotagiri Ramamohanarao
View abstract
11:00Nearest Neighbour Classification with Monotonicity Constraints
Wouter Duivesteijn, Ad Feelders
View abstract
11:20Estimating Sales Opportunity using Similarity-based Methods
Sholom Weiss, Nitin Indurkhya
View abstract
11:40A Collaborative Filtering Framework Based on both Local User Similarity and Global User Similarity
Heng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich
View abstract
12:00Metric Learning: A Support Vector Approach
Nam Nguyen, Yunsong Guo
View abstract

Reinforcement Learning 2

Thursday 18 September
14:00 - 15:20
Location: R001

Session chair: Shimon Whiteson


14:00State-Dependent Exploration for Policy Gradient Methods
Thomas Rückstiess, Martin Felder, Jürgen Schmidhuber
View abstract
14:20A New Natural Policy Gradient by Stationary Distribution Metric
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya
View abstract
14:40Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs
Francisco S. Melo, Manuel C. Lopes
View abstract
15:00Learning MDP Action Models via Discrete Mixture Trees
Michael Wynkoop, Thomas Dietterich
View abstract

Clustering 2

Thursday 18 September
14:00 - 15:20
Location: R002

Session chair: Wray Buntine


14:00Large-Scale Clustering through Functional Embedding
Frederic Ratle, Jason Weston, Matthew L. Miller
View abstract
14:20Mixed Bregman Clustering with Approximation Guarantees
Richard Nock, Panu Luosto, Jyrki Kivinen
View abstract
14:40Clustering Distributed Sensor Data Streams
Pedro Rodrigues-Pereira, João Gama, Luís Lopes
View abstract
15:00Data Streaming with Affinity Propagation
Xiangliang Zhang, Cyril Furtlehner, Michele Sebag
View abstract

Pattern Mining

Thursday 18 September
14:00 - 15:20
Location: R014

Session chair: Toon Calders


14:00Adequate Condensed Representations of Patterns
Arnaud Soulet, Bruno Cremilleux
View abstract
14:20Minimum-Size Bases of Association Rules
José L Balcázar
View abstract
14:40Decomposable Families of Itemsets
Nikolaj Tatti, Hannes Heikinheimo
View abstract
15:00A Space Efficient Solution to the Frequent String Mining Problem for Many Databases
Adrian Kugel, Enno Ohlebusch
View abstract

Social Networks

Thursday 18 September
16:00 - 17:00
Location: R001

Session chair: Myra Spiliopoulou


16:00Hierarchical, Parameter-Free Community Discovery
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos
View abstract
16:20A Fast Algorithm to Find Overlapping Communities in Networks
Steve Gregory
View abstract
16:40Effective Visualization of Information Diffusion Process over Complex Networks
Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
View abstract

Multi Relational

Thursday 18 September
16:00 - 17:00
Location: R002

Session chair: Stefan Kramer


16:00Parameter Learning in Probabilistic Databases: A Least Squares Approach
Bernd Gutmann, Angelika Kimmig, Kristian Kersting, Luc De Raedt
View abstract
16:20A Simple Model for Sequences of Relational State Descriptions
Ingo Thon, Niels Landwehr, Luc De Raedt
View abstract
16:40Extracting Semantic Networks from Text via Relational Clustering
Stanley Kok, Pedro Domingos
View abstract

Feature Selection

Thursday 18 September
16:00 - 17:00
Location: R014

Session chair: Gerhard Paass


16:00A Novel Scalable and Data Efficient Feature Subset Selection Algorithm
Sergio Rodrigues de Morais, Alex Aussem
View abstract
16:20Robust Feature Selection using Ensemble Feature Selection Techniques
Yvan Saeys, Thomas Abeel, Yves Van de Peer
View abstract
16:40Scalable Feature Selection for Multi-Class Problems
Boris Chidlovskii, Loïc Lecerf
View abstract

Community Meeting

Thursday 18 September
17:00 - 18:40
Location: R001

Poster Reception 2

Thursday 18 September
19:00 - ?
Location: Elzenveld

Friday 19 September

Invited Talk

Friday 19 September
09:00 - 10:00
Location: Aula Rector Dhanis

Session chair: Katharina Morik


09:00From Microscopy Images to Models of Cellular Processes
Yoav Freund - University of California, San Diego, USA
View abstract

Tutorials

Friday 19 September
All Day
Location: R building

morningWeb Mining
Room: R007
View abstract
morningData Mining for Anomaly Detection
Room: R014
View abstract
afternoonThe Regularization Frontier in Machine Learning
Room: R014
View abstract

Workshops

Friday 19 September
All Day
Location: R building

all dayStatistical and Relational Learning in Bioinformatics
Room: R004
Website
all dayUbiquitous Knowledge Discovery
Room: R012
Website
all dayMining Multidimensional Data
Room: R001
Website
all dayPreference Learning
Room: R002
Website
all dayHigh-level Information Extraction
Room: R008
Website

Farewell Party

Friday 19 September
18:00 - ?
Location: R building