SIGKDD(KDD) 2009 论文列表Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, Paris, France, June 28, 2009. |
Using uncertain chemical and thermal data to predict product quality in a casting process.
On perturbation theory and an algorithm for maximal clique enumeration in uncertain and noisy graphs.
Learning from data with uncertain labels by boosting credal classifiers.
Lazy naive credal classifier.
Identifying graphs from noisy and incomplete data.
Exploiting contexts to deal with uncertainty in classification.
Bianca Zadrozny Gisele L. Pappa Wagner Meira Jr. Marcos André Gonçalves Leonardo Rocha Thiago Salles
Efficient algorithms for mining constrained frequent patterns from uncertain data.
Decision support and profit prediction for online auction sellers.