15. KDD 2009:
Paris,
France - Workshop on Knowledge Discovery from Uncertain Data
Jian Pei, Lise Getoor, Ander de Keijzer (Eds.):
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, Paris, France, June 28, 2009.
ACM 2009, ISBN 978-1-60558-675-5
- Chia-Hui Chang, Jun-Hong Lin:
Decision support and profit prediction for online auction sellers.
1-8
- Carson Kai-Sang Leung, Dale A. Brajczuk:
Efficient algorithms for mining constrained frequent patterns from uncertain data.
9-18
- Bianca Zadrozny, Gisele L. Pappa, Wagner Meira Jr., Marcos André Gonçalves, Leonardo C. da Rocha, Thiago Salles:
Exploiting contexts to deal with uncertainty in classification.
19-22
- Galileo Mark S. Namata Jr., Lise Getoor:
Identifying graphs from noisy and incomplete data.
23-29
- Giorgio Corani, Marco Zaffalon:
Lazy naive credal classifier.
30-37
- Benjamin Quost, Thierry Denoeux:
Learning from data with uncertain labels by boosting credal classifiers.
38-47
- William Hendrix, Matthew C. Schmidt, Paul Breimyer, Nagiza F. Samatova:
On perturbation theory and an algorithm for maximal clique enumeration in uncertain and noisy graphs.
48-56
- Catarina Dudas, Henrik Boström:
Using uncertain chemical and thermal data to predict product quality in a casting process.
57-61
Copyright © Mon Nov 2 20:55:55 2009
by Michael Ley (ley@uni-trier.de)