627 search results - page 26 / 126 » Privacy-Preserving k-NN for Small and Large Data Sets |
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ACSW
2007
15 years 21 days ago
2007
Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical da...
COCOA
2008
Springer
15 years 1 months ago
2008
Springer
Abstract: Recently, there have been significant theoretical progresses towards fixed-parameter algorithms for the DOMINATING SET problem of planar graphs. It is known that the prob...
COMAD
2008
15 years 21 days ago
2008
We propose an efficient sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a "sampling...
SIGIR
2006
ACM
15 years 5 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
KDD
1994
ACM
15 years 3 months ago
1994
ACM
This paper discusses the problem of knowledge discovery in image databases with particular focus on the issues which arise when absolute ground truth is not available. It is often...