Conference Program

(A) gives an overview

(B) gives the full program, including the posters to be shown on each day

(A) Overview

_____

Thursday 13th

Friday 14th

Saturday 15th

8.00

Registration

8.30

Invited II

Invited III

9.15

3 contributed

3 contributed

9.30

Welcome

9.45

Keynote lecture

10.45-11.15

Coffee

Coffee

Coffee

11.15

3 contributed

3 contributed

Data challenge

12.45-14.15

Lunch and posters

Lunch and posters

(Find own lunch)

14.15

3 contributed

3 contributed

Sintra tour

15.45-16.15

Tea

Tea

16.15

Invited I

3 contributed

2 contributed

17:45

END

18.00

END

18.00-19.00

Steering Committee

19.00

Reception

20.00

Dinner

_________________________________________

 

(B) Full program

All talks will be given in the Auditorium of the Cultural Centre of Cascais (CCC)

The posters will be displayed in the Atrium of the Cultural Centre of Cascais (CCC)

 

Day 1: Thursday 13th September

8.00: Registration

9.30: Session 1: Chair: Xiaohui Liu

9.30: Welcome: Doug Fisher, David Hand, Gabriela Guimaraes

9.45: Keynote Lecture: Daryl Pregibon: Statistics and Moore's Law

10.45: Coffee

11.15: Session 2: Chair: Fernando Moura-Pires

11.15: Feature Characterization in Scientific Datasets: Elizabeth Bradley, Nancy Collins, and W.Philip Kegelmeyer

11.45: Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation: Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete

12.15: Generating Fuzzy Summaries from Fuzzy Multidimensional Databases: Anne Laurent

 

12.45: Buffet Lunch and poster display

14.15: Session 3: Chair: Frank Hoffman

14.15: A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets: Andrew Estabrooks, Nathalie Japkowicz

14.45: Predicting Time-Varying Functions with Local Models: Achim Lewandowski, Peter Protzel

15.15: Building Models of Ecological Dynamics using HMM based Temporal Data Clustering - A Preliminary Study: Cen Li, Gautam Biswas, Mike Dale, and Pat Dale

15.45: Tea

16.15: Session 4: Chair: Roberta Siciliano

16.15: Invited lecture I: Sunil Rao: Bayesian nonparametric MCMC for large variable selection problems

17.00: Tagging With Small Training Corpora: Nuno C. Marques, Gabriel Pereira Lopes

17.30: A Search Engine for Morphologically Complex Languages: Udo Hahn, Martin Honeck, Stefan Schulz

18.00: End

19.00: Reception at the Museu do Mar Rei D. Carlos I

_________________________________

 

Day 2: Friday 14th September

8.30: Session 5: Chair: Pavel Brazdil

8.30: Invited lecture II: Katharina Morik: Intelligent Choices Preceding Data Analysis

9.15: Errors Detection and Correction in Large Scale Data Collecting: Renato Bruni, Antonio Sassano

9.45: A New Framework to Assess Association Rules: Fernando Berzal, Ignacio Blanco, Daniel Sánchez, María-Amparo Vila

10.15: Automatic Differentiation between Alpha and Spindle Activities in Sleep EEG: Eero Huupponen, Sari-Leena Himanen, Alpo Värri, Joel Hasan, Mikko Lehto-kangas, and Jukka Saarinen

10.45: Coffee

11.15: Session 6: Chair: Frank Höppner

11.15: Communities of Interest: Corinna Cortes, Daryl Pregibon, Chris Volinsky

11.45: Grading Classifiers: Alexander K. Seewald, Johannes Fürnkranz

12.15: Finding Informative Rules in Interval Sequences: Frank Höppner and Frank Klawonn

 

12.45: Buffet Lunch and poster display

14.15: Session 7: Chair: Doug Fisher

14.15: Gaining Insights into Support Vector Machine Pattern Classifiers: Using Projection-Based Tour Methods: Doina Caragea, Dianne Cook, Vasant Honavar

14.45: Correlation-based and Contextual Merit-based Ensemble Feature Selection: Seppo Puuronen, Alexey Tsymbal, and Iryna Skrypnyk

15.15: Nonmetric Multidimensional Scaling with Neural Networks: Michiel C. van Wezel, Walter A. Kosters, Peter van der Putten, Joost N. Kok

15.45: Tea

16.15: Session 8: Chair: Gabriela Guimaraes

16.15: Multivariate Trees for Regression: João Gama

16.45: Data Mining with Products of Trees: J.T.A.S. Ferreira, D.G.T Denison, D.J. Hand

17.15: S3 Bagging: Fast Classifier Induction Method with Subsampling and Bagging:: Masahiro Terabe, Takashi Washio, Hiroshi Motoda

 17.45: End

 20.00: Conference dinner in the Bayside Restaurant at Cascais Marina

_________________________________

 

Day 3: Saturday 15th September

8.30: Session 9: Chair: Arno Siebes

8.30: Invited lecture III: Rolf Backofen: RNA-sequence-structure properties and selenocysteine insertion

9.15: An Algorithm for Segmenting Categorical Time Series Into Meaningful Episodes: Paul Cohen and Niall Adams

9.45: An Empirical Comparison of Pruning methods for Ensemble Classifiers: Terry Windeatt, Gholamreza Ardeshir

10.15: A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis: P. Kellam, X. Liu, N. Martin, C. Orengo, S. Swift, A. Tucker

10.45: Coffee

11.15: Session 10: Robot Data Challenge: Chair: Paul Cohen

 

12.45: Find own lunch

Sintra Tour: Depart from the Cultural Centre of Cascais at 14:30

_____________________________________________

 

Posters:

Using Multiattribute Prediction Suffix Graphs for Spanish Part-Of-Speech Tagging: José L. Triviño-Rodriguez, Rafael Morales-Bueno

Self-supervised Chinese Word Segmentation: Fuchun Peng, Dale Schuurmans

Analyzing Data Clusters: a Rough Set Approach to Extract Cluster-defining Symbolic Rules: Syed Sibte Raza Abidi, Kok Meng Hoe, Alwyn Goh

Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables: Ryohei Nakano and Kazumi Saito

Fluent Learning: Elucidating the Structure of Episodes: Paul Cohen

An Intelligent Decision Support Model for Aviation Weather Forecasting: Sérgio Viademonte, Frada Burstein

MAMBO: Discovering Association Rules Based on Conditional Independencies: Robert Castelo, Ad Feelders, Arno Siebes

Model Selection for Random Fields: Richard Glendinning

Active Hidden Markov Models for Information Extraction: Tobias Scheffer, Christian Decomain, Stefan Wrobel

Latent Semantic Pursuit: Christian Posse and Igor Perisic

Adaptive Lightweight Text Filtering: Gabriel L. Somlo and Adele E. Howe

A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks: Zhang Hongwei, Tian Fengzhan, Lu Yuchang

Investigating Temporal Patterns of Fault Behavior within Large Telephony Networks: Dave Yearling and David J. Hand

Closed Set Based Discovery of Representative Association Rules: Marzena Kryszkiewicz

Intelligent Sensor Analysis and Actuator Control: Mathew Easley and Elizabeth Bradley

Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery: Grace W. Rumantir and Chris S. Wallace

END