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» Maintaining Stream Statistics over Sliding Windows
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83
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FASE
2006
Springer
15 years 1 months ago
Argus: Online Statistical Bug Detection
Statistical debugging is a powerful technique for identifying bugs that do not violate programming rules or program invariants. Previously known statistical debugging techniques ar...
Long Fei, Kyungwoo Lee, Fei Li, Samuel P. Midkiff
81
Voted
SSDBM
2006
IEEE
129views Database» more  SSDBM 2006»
15 years 4 months ago
Indexing Time-Evolving Data With Variable Lifetimes
Many applicationsstore data items for a pre-determined, finite length of time. Examples include slidingwindows over on-line data streams, where old data are dropped as the window...
Lukasz Golab, Piyush Prahladka, M. Tamer Özsu
90
Voted
ICIP
2005
IEEE
15 years 3 months ago
Mining arbitrary-length repeated patterns in television broadcast
Mining repeated patterns in television broadcast is important to advertisers in tracking a large number of television commercials. It can also benefit long-term archival of telev...
Sen-Ching S. Cheung, Thinh Nguyen
97
Voted
AMC
2005
178views more  AMC 2005»
14 years 10 months ago
Color image segmentation based on three levels of texture statistical evaluation
In this paper a new and efficient supervised method for color image segmentation is presented. This method improves a part of the automatic extraction problem. The basic technique...
Juan B. Mena, José A. Malpica
189
Voted
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
15 years 10 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu