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ORCID15th KDD 2009: Paris, France - Workshop on Knowledge Discovery from Uncertain Data
- Jian Pei, Lise Getoor, Ander de Keijzer:
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 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
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