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PAKDD
2005
ACM
13 years 9 months ago
2005
ACM
Traditional multiple query optimization methods focus on identifying common subexpressions in sets of relational queries and on constructing their global execution plans. In this p...
PAKDD
2005
ACM
13 years 9 months ago
2005
ACM
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
PAKDD
2005
ACM
13 years 9 months ago
2005
ACM
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
PAKDD
2005
ACM
13 years 9 months ago
2005
ACM
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
PAKDD
2005
ACM
13 years 9 months ago
2005
ACM
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...