627 search results - page 6 / 126 » Privacy-Preserving k-NN for Small and Large Data Sets |
74
Voted
PVLDB
2010
14 years 9 months ago
2010
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...
116
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BIBE
2003
IEEE
15 years 4 months ago
2003
IEEE
We present a multi-dimensional indexing approach for fast sequence similarity search in DNA and protein databases. In particular, we propose effective transformations of subsequen...
102
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VLDB
2004
ACM
15 years 4 months ago
2004
ACM
In data stream applications, data arrive continuously and can only be scanned once as the query processor has very limited memory (relative to the size of the stream) to work with...
ICCBR
2003
Springer
15 years 4 months ago
2003
Springer
This paper is an empirical investigation into the effectiveness of linear scaling adaptation for case-based software project effort prediction. We compare two variants of a linea...
ICPR
2004
IEEE
16 years 7 days ago
2004
IEEE
We present an Outlier Detection using Indegree Number (ODIN) algorithm that utilizes k-nearest neighbour graph. Improvements to existing kNN distance -based method are also propos...