

Preliminary Program
PDF version of the preliminary program
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.

9:00  10:00 
Keynote Talk 1
A Virtual CupTester 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 Semisupervised 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 PartialMemory 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 
Similaritybased Neural Networks for Applications
on Symbol Strings
I. Fischer 
Combining Pairwise Classifiers with Stacking
P. Savicky and J. Fuernkranz 
Clustering 
Fuzzy Clustering based Segmentation of Timeseries
J. Abonyi, B. Feil, S. Nemeth,
and P. Arva 
An Iterated Local Search Approach for Minimum
SumOfSquares Clustering
P. Merz 
Data Clustering in Tolerance Space
C.H. Tzeng and F.S. Sun 
Probability and Topology 
Very Predictive Ngrams for SpaceLimited
Probabilistic Models
P. Cohen and C. Sutton 
Interval Estimation Naïve Bayes
V. Robles, P. Larrañaga, J.M. Peña,
E. Menasalvas, and M.S. Pérez 
Modeling 
A MultiagentBased 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 Secondorder
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. VegasAzcarate and J. Muruzabal 
(Data) Preprocessing 
A Logical Formalisation of the FellegiHolt Method
of Data Cleaning
A. Boskovitz, R. Gore, and M. Hegland 
Compression Technique Preserving Correlations of a
Multivariate Temporal Sequence
A. ChouakriaDouzal 
Condensed Representations in Presence
of Missing Values
F. Rioult and B. Cremilleux 
Applications 
Genomewide 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 
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 
APRIORISD: 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 
Clustering 
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. MoellerLevet, 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
CoAuthor Networks
P. Mutschke 
Modeling 
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
Nonalgebraic Feature Representation
L. Shafti and E. Perez 
Active Feature Selection based on a Very Limited Number
of Entities
Y. Sinohara and T. Miura 
Applications 
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 Objectoriented 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


