121 search results - page 6 / 25 » Random Sampling from Database Files: A Survey |
PODS
2009
ACM
14 years 7 months ago
2009
ACM
APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...
ISI
2002
Springer
13 years 6 months ago
2002
Springer
Dealing with large volumes of data, OLAP data cubes aggregated values are often spoiled by errors due to missing values in detailed data. This paper suggests to adjust aggregate an...
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...
FGR
2004
IEEE
13 years 10 months ago
2004
IEEE
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
SSDBM
2007
IEEE
14 years 1 months ago
2007
IEEE
Reservoir sampling is a well-known technique for sequential random sampling over data streams. Conventional reservoir sampling assumes a fixed-size reservoir. There are situation...