Discovery Science 2009

Porto, Portugal, 3-5 October 2009

Program Schedule

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  Friday
2 Oct		 Saturday
3 Oct		 Sunday
4 Oct		 Monday
5 Oct
 
08:00 Registration Registration
08:30
 Tutorial

Computational Intelligence for Neuroscience
Concha Bielza, Pedro Larranaga (Chair: Joao Gama)
09:00
 Invited Talk

Chair: Gabor Lugosi

Learning and Domain Adaptation
Yishay Mansour
 Invited Talk

Chair: Vitor Costa

Mining Heterogeneous Information Networks By Exploring the Power of Links
Jiawei Han
 
10:00 Coffee Break
10:15
 Carl Smith Award Paper
(DS 2009)

Chair: Einoshin Suzuki

An Empirical Comparison of Probability Estimation Techniques for Probabilistic Rules
Jan-Nikolas Sulzmann, Johannes Furnkranz
 E. Mark Gold Award Paper
(ALT 2009)

Chair: Ricard Gavalda

Reconstructing Weighted Graphs with Minimal Query Complexity
Nader Bshouty, Hanna Mazzawi
10:45 Coffee Break
11:00
 Tutorial

Interestingness Measures for Knowledge Discovery
Howard Hamilton, Fabrice Guillet (---)
 Applications 1

Chair: Myra Spiliopoulou

Detecting New Kinds of Patient Safety Incidents
James Bentham, David J. Hand (20m)

Using Data Mining for Wine Quality Assessment
Paulo Cortez, Juliana Teixeira, Antonio Cerdeira, Fernando Almeida, Telmo Matos, Jose Reis (20m)

Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool
Sherri Harms, Tsegaye Tadesse, Brian Wardlow (20m)

Gene Functional Annotation with Dynamic Hierarchical Classification Guided by Orthologs
Kazuhiro Seki, Yoshihiro Kino, Kuniaki Uehara (15m)

Computing a Comprehensible Model for Spam Filtering
Amparo Ruiz-Sepulveda, Jose L. Trivino-Rodriguez, Rafael Morales-Bueno (15m)
 Applications 2

Chair:Osmar R. Zaiane

Player Modeling for Intelligent Difficulty Adjustment
Olana Missura, Thomas Gartner (20m)

Discovering the Structures of Open Source Programs from Their Developer Mailing Lists
Dinh Anh Nguyen, Koichiro Doi, Akihiro Yamamoto (20m)

OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers
Indre Zliobaite, Jorn Bakker, Mykola Pechenizkiy (20m)

A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks
Jorge Gonzalo-Alonso, Carlos A. Iglesias, Elena Garcia-Hortelano, Paloma de Juan (20m)

Latent Topic Extraction from Relational Table for Record Matching
Atsuhiro Takasu, Daiji Fukagawa, Tatsuya Akutsu (15m)
 
 
 
13:00 Steering Committee Meeting Lunch Lunch
 
14:00
 Invited Talk

Chair: Alípio Jorge

Inference and Learning in Planning
Hector Geffner
 Invited Talk

Chair: Pavel Brazdil

Learning on the Web
Fernando Pereira
 Invited Talk

Chair: Sandra Zilles

The Two Faces of Active Learning
Sanjoy Dasgupta
 
15:00 Coffee Break
15:15
 Networks 1

Chair: Hiroshi Motoda

CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks
Min-Soo Kim, Jiawei Han (20m)

Centrality Measures from Complex Networks in Active Learning
Robson Motta, Alneu de Andrade Lopes, Maria Cristina F. de Oliveira (20m)

Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images
Susana Nascimento, Pedro Franco (20m)

Better Decomposition Heuristics for the Maximum-Weight Connected Graph Problem Using Betweenness Centrality
Takanori Yamamoto, Hideo Bannai, Masao Nagasaki, Satoru Miyano (15m)
 Networks 2

Chair: Ernestina Menasalvas

A Comparison of Community Detection Algorithms on Artificial Networks
Gunce Keziban Orman, Vincent Labatut (20m)

Discovering Influential Nodes for SIS Models in Social Networks
Kazumi Saito, Masahiro Kimura, Hiroshi Motoda (20m)

Subspace Discovery for Promotion: A Cell Clustering Approach
Tianyi Wu and Jiawei Han (20m)

Finding the k-Most Abnormal Subgraphs from a Single Graph
JianBin Wang, Bin-Hui Chou, Einoshin Suzuki (15m)
 Streams 2 / Transduction

Chair: Kazuhiro Seki

Mining Local Correlation Patterns in Sets of Sequences
Antti Ukkonen (20m)

Contrasting Sequence Groups by Emerging Sequences
Kang Deng, Osmar R. Zaiane (15m)

An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Annalisa Appice, Donato Malerba, Michelangelo Ceci (20m)

A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba (15m)
 
 
16:30 Coffee Break
16:45
 Streams 1

Chair: Vincent Corruble

Regression Trees from Data Streams with Drift Detection
Elena Ikonomovska, Joao Gama, Raquel Sebastiao, Dejan Gjorgjevik (20m)

Mining Frequent Bipartite Episode from Event Sequences
Takashi Katoh, Hiroki Arimura, Kouichi Hirata (20m)

C-DenStream: Using Domain Knowledge on a Data Stream
Carlos Ruiz, Ernestina Menasalvas, Myra Spiliopoulou (20m)

Stream Clustering of Growing Objects
Zaigham Faraz Siddiqui, Myra Spiliopoulou (15m)
 Learning 1

Chair: Koen Vanhoof

Towards an Ontology of Data Mining Investigations
Panece Panov, Larisa N. Soldatova, Saso Dezeroski (20m)

Learning Large Margin First Order Decision Lists for Multi-class Classification
Huma Lodhi, Stephen Muggleton, Mike J.E. Sternberg (20m)

Discovering Abstract Concepts to Aid Cross-Map Transfer for a Learning Agent
Cedric Herpson, Vincent Corruble (15m)

A Dialectic Approach to Problem-Solving
Eric Martin, Jean Sallantin (15m)
 Learning 2

Chair: Annalisa Appice

MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Yasser EL-Manzalawy, Vasant Honavar (20m)

Precision and Recall for Regression
Luis Torgo, Rita Ribeiro (20m)

On the Complexity of Constraint-Based Theory Extraction
Mario Boley, Thomas Gartner (20m)

Linear Programming Boosting by Column and Row Generation
Kohei Hatano, Eiji Takimoto (15m)
 
 
 
18:30 Community Meeting
19:00
Welcome
Reception
@
The Botanic Garden

 Farewell
Party
@
Casa do Vinho Verde
 
20:00 Banquet