SDM
2012
SIAM
11 years 9 months ago
2012
SIAM
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
ICDE
2012
IEEE
11 years 9 months ago
2012
IEEE
— Differential privacy has recently emerged as the de facto standard for private data release. This makes it possible to provide strong theoretical guarantees on the privacy and ...
ADAC
2010
13 years 4 months ago
2010
In this paper we propose a robust classification rule for skewed unimodal distributions. For low dimensional data, the classifier is based on minimizing the adjusted outlyingness t...
DASFAA
2004
IEEE
13 years 10 months ago
2004
IEEE
Abstract. Data declustering speeds up large data set retrieval by partitioning the data across multiple disks or sites and performing retrievals in parallel. Performance is determi...