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» Representing Data Quality for Streaming and Static Data
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CAISE
1999
Springer
15 years 8 months ago
Towards Quality-Oriented Data Warehouse Usage and Evolution
As a decision support information system, a data warehouse must provide high level quality of data and quality of service. In the DWQ project we have proposed an architectural fram...
Panos Vassiliadis, Mokrane Bouzeghoub, Christoph Q...
FEGC
2010
161views Biometrics» more  FEGC 2010»
15 years 5 months ago
Detecting anomalies in data streams using statecharts
The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream i...
Vasile-Marian Scuturici, Dan-Mircea Suciu, Romain ...
ASPLOS
2006
ACM
15 years 10 months ago
Exploiting coarse-grained task, data, and pipeline parallelism in stream programs
As multicore architectures enter the mainstream, there is a pressing demand for high-level programming models that can effectively map to them. Stream programming offers an attrac...
Michael I. Gordon, William Thies, Saman P. Amarasi...
JNW
2008
150views more  JNW 2008»
15 years 4 months ago
Quality-Aware Cooperative Proxy Caching for Video Streaming Services
By applying a proxy mechanism widely used in WWW systems to video streaming systems, low-delay and high-quality video distribution can be accomplished without imposing extra load o...
Yoshiaki Taniguchi, Naoki Wakamiya, Masayuki Murat...
SSDBM
2010
IEEE
181views Database» more  SSDBM 2010»
15 years 2 months ago
Stratified Reservoir Sampling over Heterogeneous Data Streams
Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., c...
Mohammed Al-Kateb, Byung Suk Lee