119 search results - page 7 / 24 » Privacy protection on sliding window of data streams |
ICDE
2005
IEEE
14 years 9 months ago
2005
IEEE
We consider the problem of efficiently computing the skyline against the most recent N elements in a data stream seen so far. Specifically, we study the n-of-N skyline queries; th...
PODS
2003
ACM
14 years 7 months ago
2003
ACM
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
Abstract-- Skyline computation has many applications including multi-criteria decision making. In this paper, we study the problem of efficient processing of continuous skyline que...
SIGMOD
2008
ACM
14 years 7 months ago
2008
ACM
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
SIGMOD
2006
ACM
14 years 7 months ago
2006
ACM
Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with the highest scores according to f. Even though the problem is well-studied in convent...