| begin | Authors | Title |
| 9:00 | Berka, P. (University of Economics, Prague, Czech Republic) |
Introduction to the Discovery Challenge
(presentation)
|
| 9:10 | Tomeckova, M. (EuroMISE Centre, Prague, Czech Republic) |
The challenge on atherosclerosis data viewed by the experts
(presentation)
|
| 9:30 | Brisson L., Pasquier N., Collard M., Hébert C. (Université de Nice and
Université de Caen, France) |
HASAR: mining sequential association rules for atherosclerosis factor analysis
(ps file)
(presentation)
|
| 9:50 | Klema J., Novakova L., Karel F., Stepankova O.(Czech Technical University,
Czech Republic) |
Trend analysis in Stulong data
(pdf file)
(presentation)
|
| 10:10 | Meger N., Leschi C., Lucas N., Rigotti C. (INSA de Lyon and Université
d'Orsay, France) |
Mining episode rules in STULONG dataset
(pdf file)
(presentation)
|
| begin | Authors | Title |
| 11:00 | Durand N., Cleuziou G., Soulet A. (Université de Caen and Université
d'Orléans, France) |
Discovery of overlapping clusters to detect atherosclerosis risk factors
(ps file)
|
| 11:20 | Goncalves E.C., Plastino A. (Universidade Federal Fluminense, Brazil) |
Mining strong associations and exceptions in the STULONG data set
(pdf file)
(presentation)
|
| 11:40 | Soulet A., Hébert C. (Université de Caen) |
Using emerging patterns from clusters to characterize social subgroups of patients
affected by atherosclerosis
(pdf file)
|
| 12:00 | Salleb A., Turmeaux T., Vrain C., Nortet C. (Université d'Orléans) |
Mining quantitative association rules in a atherosclerosis dataset
(pdf file)
|
| 12:15 | Couturier O., Delalin H., Fu H., Kouamou G. E., Mephu-Nguifo E.
(Université de Lens, France) |
A three-step approach for STULONG database analysis: characterization of patients' groups
(pdf file)
(presentation)
|
| begin | Authors | Title |
| 14:00 | Oka M., Koiso T., Meng E., Kato K. (University of Tsukuba, University
of Colorado and Japan Science and Technology Corporation, Japan)
|
Extracting features of patients using the Eigen co-occurrence matrix
algorithm
(pdf file)
|
| 14:20 | Lachiche N., Fuchs S., Gançarski P. and Derivaux S. (Université de
Strasbourg, France) |
Discriminative power of related controls in the STULONG project
(pdf file)
|
| 14:30 | Blatak J. (Masaryk University in Brno, Czech Republic) |
Mining first-order frequent patterns in the STULONG database
(pdf file)
(presentation)
|
| | |
| 14:40 | Robardet, C. (Universite Claude Bernard Lyon, France) |
The challenge on gene expression data viewed by the experts
(presentation)
|
| 15:00 | Rioult F. (Université de Caen) |
Mining strong emerging patterns in wide SAGE data
(pdf file)
(presentation)
|
| 15:20 | Gamberoni G., Storari S. (Universita di Ferrara, Italy) |
Supervised and unsupervised learning techniques for profiling SAGE results
(ps file)
|
| begin | Authors | Title |
| 16:00 | |
The challenge on hepatitis data viewed by the experts |
| 16:20 | Hirano S., Tsumoto S. (School of Medicine, Shimane University, Japan) |
Identification of inhomogeneous/short sequneces in the chronic hepatitis
dataset based on the variance of sampling interval
(pdf file)
|
| 16:40 | Ho, T. B., Kawasaki S., Le S. G., Tran T. N., Takabayashi K.,
Yokoi H. (School of Knowledge Science, Ishikawa and Chiba University
Hospital, Chiba, Japan)
|
Combining temporal abstraction and data mining to sudy hepatitis
(pdf file)
|
| 17:00 | Ohara K., Yoshida T., Geamsakul W., Motoda H., Washio T., Yokoi H.,
Takabayashi K. (Osaka University, Hokkaido University and Chiba
University Hospital, Chiba, Japan) |
Analysis of hepatitis dataset by decision tree graph-based induction
(pdf file)
|
| 17:20 | Suzuki E., Zhong N., Yokoi H., Takabayashi K. (Yokohama University,
Maebashi Institute of Technology, Japan) |
Spiral mining of chronic hepatitis data
(pdf file)
|
| 17:40 | Riguzzi F. (Universita di Ferrara, Italy) |
Classification and visualisation on the hepatitis dataset
(pdf file)
|
| 17:50 | | Panel with experts
(presentation)
|