The 5th International Symposium
on Intelligent Data Analysis

Berlin, Germany
August 28-30, 2003

Topics of Interest
Important Dates
Conference Organization
Program Committee
Paper Submission
Preliminary Program
Keynote Talks
Poster Instructions
Student Grants
Conference Venue
Conference Location
Hotel Information

Preliminary Program

PDF version of the preliminary program

Thursday, August 28th, 2003

9:00 - 12:00 Tutorials
(in parallel, free for all registered attendees)
12:00 - 13:30 Lunch Break
13:30 - 14:00 Opening Address, Room 101
Prof. D. Lenzen, President of the Free University of Berlin
Prof. H. Bester, Dean of the Faculty of Economics
Prof. H.-J. Lenz, General Chairman of IDA 2003
14:00 - 15:30 Machine Learning 1
Pruning for Monotone Classification Trees
A. Feelders and M. Pardoel
Regularized Learning with Flexible Contraints
E. Hüllermeier
Learning to Answer Emails
A. Lüneburg, M. Kockelkorn, and T. Scheffer
15:30 - 16:00 Coffee Break
16:00 - 17:30 Probability and Topology
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
A. Tucker and X. Liu
Topology and Intelligent Data Analysis
V. Robins, J. Abernethy, N. Rooney, and L. Bradley
Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events
G. Coletti and R. Scozzafava
19:30 -  Dinner on the Reichstag
Departure from the conference site: 18:30 hours.
Please have a passport or an id card ready at the entrance.

Friday, August 29th, 2003

9:00 - 10:00 Keynote Talk 1
A Virtual Cup-Tester for Coffee Quality Assessment
G. della Riccia
10:00 - 10:30 Coffee Break
10:30 - 12:00 Classification and Pattern Recognition
Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs
P. Geibel and F. Wysotzki
An Effective Associative Memory for Pattern Recognition
B. Kryzhanovsky, L. Litinskii, and A. Fonarev
Similarity Based Classification
A.E. Bernal, K. Hovsepian, T. Karadeniz, and J.-L. Lassez
12:00 - 13:00 Lunch Break
13:00 - 14:30 Machine Learning 2
A Semi-supervised Method for Learning the Structure of Robot Environment Interaction
A. Grossmann, M. Wendt, and J. Wyatt
Using Domain Specific Knowledge for Automated Modeling
L. Todorovski and S. Dzeroski
Resolving Rule Conflicts with Double Induction
T. Lindgren and H. Boströom
14:30 - 14:45 Coffee Break
14:45 - 16:15 Clustering
What is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier
F. Klawonn and F. Höppner
A Mixed Model Approach for Binned Data Clustering
A. Same, C. Ambroise, and G. Govaert
16:15 - 16:30 Coffee Break
16:30 - 17:30 Poster Spotlight Presentations
17:30 - 19:00 Poster Presentations
Machine Learning
A Novel Partial-Memory Learning Algorithm based on Grey Relational Structure
C.-C. Huang and H.-M. Lee
Classification and Pattern Recognition
Numerical Attributes in Decision Trees: A Hierarchical Approach
F. Berzal, J.-C. Cubero, N. Marin, and D. Sanchez
Similarity-based Neural Networks for Applications on Symbol Strings
I. Fischer
Combining Pairwise Classifiers with Stacking
P. Savicky and J. Fuernkranz
Fuzzy Clustering based Segmentation of Time-series
J. Abonyi, B. Feil, S. Nemeth, and P. Arva
An Iterated Local Search Approach for Minimum Sum-Of-Squares Clustering
P. Merz
Data Clustering in Tolerance Space
C.-H. Tzeng and F.-S. Sun
Probability and Topology
Very Predictive Ngrams for Space-Limited Probabilistic Models
P. Cohen and C. Sutton
Interval Estimation Naïve Bayes
V. Robles, P. Larrañaga, J.M. Peña, E. Menasalvas, and M.S. Pérez
A Multiagent-Based Constructive Approach for Feedforward Neural Networks
C.A.M. Lima, A.L.V. Coelho, and F.J. Von Zuben
Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems
I. Renners and A. Grauel
Minimum Message Length Criterion for Second-order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting
G.W. Rumantir and C.S. Wallace
On the Use of the GTM Algorithm for Mode Detection
S. Vegas-Azcarate and J. Muruzabal
(Data) Preprocessing
A Logical Formalisation of the Fellegi-Holt Method of Data Cleaning
A. Boskovitz, R. Gore, and M. Hegland
Compression Technique Preserving Correlations of a Multivariate Temporal Sequence
A. Chouakria-Douzal
Condensed Representations in Presence of Missing Values
F. Rioult and B. Cremilleux
Genome-wide Prokaryotic Promoter Recognition based on Sequence Alignment Kernel
L. Gordon, A. Chervonenkis, A. Gammerman, I. Shahmuradov, and V. Solovyev
Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool based on Spatial Aggregation
L. Ironi and S. Tentoni
Gaussian Mixture Density Estimation Applied to Microarray Data
C. Steinhoff, T. Müuller, U. Nuber, and M. Vingron
19:00 -  Barbeque

Saturday, August 30th, 2003

9:00 - 10:00 Keynote Talk 2
Distributed Learning for the Analysis of Extreme Data Sets
L.O. Hall
10:00 - 10:30 Coffee Break
10:30 - 12:00 Applications (Bioinformatics)
Selective Sampling with a Hierarchical Latent Variable Model
H. Mamitsuka
Obtaining Quality Microarray Data via Image Reconstruction
P. O'Neill, G.D. Magoulas, and X. Liu
Large Scale Mining of Molecular Fragments with Wildcards
H. Hofer, C. Borgelt, and M. Berthold
12:00 - 13:00 Lunch Break
13:00 - 14:00 Poster Spotlight Presentations
14:00 - 15:30 Poster Presentations
Machine Learning
Constructing Hierarchical Rule Systems
T.R. Gabriel and M.R. Berthold
Text Categorization Using Hybrid Multiple Model Schemes
I.-C. Kim, S.-H. Myoung
Classification and Pattern Recognition
APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery
B. Kavsek, N. Lavrac, V. Jovanoski
Solving Classification Problems using Infix Form Genetic Programming
M. Oltean and C. Grosan
Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings
H. Ayad and M. Kamel
Clustering Mobile Trajectories for Resource Allocation in Mobile Environments
D. Katsaros, A. Nanopoulos, M. Karakaya, G. Yavas, U. Ulusoy, and Y. Manolopoulos
Fuzzy Clustering of Short Time Series and Unevenly Distributed Sampling Points
C. Moeller-Levet, F. Klawonn, K.-H. Cho, and O. Wolkenhauer
Combining and Comparing Cluster Methods in a Receptor Database
E.V. Samsonova, T. Baeck, M.W. Beukers, A.P. Ijzerman, and J.N. Kok
Probability and Topology
Mining Networks and Central Entities in Digital Libraries: A Graph Theoretic Approach applied to Co-Author Networks
P. Mutschke
Regularization Methods for Additive Models
M. Avalos, Y. Grandvalet, and C. Ambroise
Automated Detection of Influenza Epidemics with Hidden Markov Models
T. Rath, M. Carreras, and P. Sebastiani
Guided Incremental Construction of Belief Networks
C. Sutton, B. Burns, C. Morrison, and P. Cohen
Distributed Regression For Heterogeneous Data Sets
Y. Xing, M.G. Madden, J. Duggan, and G. Lyons
(Data) Preprocessing
Measures of Rule Quality for Feature Selection in Text Categorization
E. Montañées, J. Fernández, I. Díaz, E.F. Combarro, and J. Ranilla
Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation
L. Shafti and E. Perez
Active Feature Selection based on a Very Limited Number of Entities
Y. Sinohara and T. Miura
Classification of Protein Localisation Patterns via Supervised Neural Network Learning
A.D. Anastasiadis, G.D. Magoulas, and X. Liu
Applying Intelligent Data Analysis to Coupling Relationships in Object-oriented Software
S. Counsell, X. Liu, R. Najjar, S. Swift, and A. Tucker
The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction
M. Lauer, M. Riedmiller, T. Ragg, W. Baum, and M. Wigbers
17:30 -  Boat Trip
Departure from the conference site: 16:30 hours


Last updated: Wed Aug 20 19:59:09 CEST 2003 -