| 9:00 - 9:10 |
Opening and Welcome |
| 9:10 - 10:30 |
Session 1 – Visual Data Pre-processing |
|
CLUSTERING BY ORDERING DENSITY-BASED SUBSPACES Kan Liu, Dongru Zhou, Xiaozheng Zhou |
|
CAN HIERARCHICAL CLUSTERING IMPROVE THE EFFICIENCY OF
NON-LINEAR DIMENSION REDUCTION WITH SPRING EMBEDDING Michael Schroeder and George Katopodis |
| 10:30 - 11:00 |
Coffee break |
| 11:00 - 13:00 |
Session 2 - Visual Environments for Data Mining and Analysis |
|
A VISUAL DATA MINING ENVIRONMENT Stephen Kimani, Tiziana Catarci and Giuseppe Santucci |
|
A POST-PROCESSING ENVIRONMENT FOR BROWSING LARGE SETS
OF ASSOCIATION RULES Alipio Jorge, João Poças and Paulo Azevedo |
|
VISUAL POST-ANALYSIS OF ASSOCIATION RULES Dario Bruzzese and Cristina Davino |
| 13:00 - 14:30 |
Lunch |
| 14:30 - 16:00 |
Session 3 – Interactive Visual Data Mining Algorithms and Applications |
|
COOPERATION BETWEEN AUTOMATIC ALGORITHMS, INTERACTIVE
ALGORITHMS AND VISUALIZATION TOOLS FOR VISUAL DATA MINING François Poulet |
|
DEFINING LIKE-MINDED AGENTS WITH THE AID OF VISUALIZATION Penny Noy and Michael Schroeder |
|
VISUAL DATA MINING OF CLINICAL DATABASES: AN APPLICATION
TO THE HEMODIALYTIC TREATMENT BASED ON 3D INTERACTIVE BAR CHARTS Luca Chittaro, Carlo Combi and Giampaolo Trapasso |
| 16:00 - 16:30 | Coffee break |
| 16:30 - 17:30 | Session 4 – ‘Perceptual’ Data Mining |
|
SONIFICATION OF TIME DEPENDENT DATA Monique Noirhomme-Fraiture, Olivier Schöller, Christophe Demoulin, Simeon J. Simoff |
|
A SURPRISE FROM THE 3DVDM GROUP Michael H. Böhlen |
| 17:30 - 18:00 | Discussion “Where Visual Data Mining is Heading” and Closure |