| Session 1 |
| 2:00 PM |
Opening introduction |
2:05 PM
|
Invited talk "Managing and Mining Uncertain Data: What Might
We Do Better?"
Christopher Jermaine
|
2:40 PM
|
Efficient Algorithms for Mining Constrained Frequent Patterns
from Uncertain Data (15 minutes)
C. K.-S. Leung and D. A. Brajczuk |
2:55 PM
|
Identifying Graphs from Noisy and Incomplete Data (15 minutes)
G. M. S.
Namata Jr. and L. Getoor |
3:10 PM
|
On Pertubation Theory and an Algorithm for Maximal Clique
Enumeration in Uncertain and Noisy Graphs (10 minutes)
W. Hendrix, M. C.
Schmidt, P. Breimyer, and N. F. Samatova |
3:20 PM
|
Exploiting Contexts to Deal with Uncertainty in Classification (10 minutes)
B. Zadrozny, G. L. Pappa, W. Meira Jr., M. A. Gonçalves, L. Rocha,
and T. Salles |
| 3:30 - 4:00 PM |
Coffee break |
|
| Session 2 |
4:00 PM
|
Invited talk "Querying and Mining Uncertain Data: Methods,
Applications, and Challenges"
Matthias Renz |
4:35 PM
|
Learning from Data with Uncertain Labels by Boosting Credal
Classifiers (15 minutes)
B. Quost and T. Denœux |
4:50 PM
|
Using Uncertain Chemical and Thermal Data to Predict Product
Quality in a Casting Process (15 minutes)
C. Dudas and H. Boström |
5:05 PM
|
Lazy Naive Credal Calssifier (10 minutes)
G. Corani and M. Zaffalon |
5:15 PM
|
Decision Support and Profit Prediction for Online Auction
Sellers (10 minutes)
C.-H. Chang and J.-H. Lin |
| 5:25 PM |
Closing remarks |