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» Streaming SPARQL - Extending SPARQL to Process Data Streams
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126
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SAC
2008
ACM
15 years 2 months ago
Continuous k-dominant skyline computation on multidimensional data streams
Skyline queries are important due to their usefulness in many application domains. However, by increasing the number of attributes, the probability that a tuple dominates another ...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
126
Voted
DASFAA
2010
IEEE
189views Database» more  DASFAA 2010»
15 years 6 months ago
Efficient Skyline Maintenance for Streaming Data with Partially-Ordered Domains
We address the problem of skyline query processing for a count-based window of continuous streaming data that involves both totally- and partially-ordered attribute domains. In thi...
Yuan Fang, Chee-Yong Chan
116
Voted
IPPS
2006
IEEE
15 years 9 months ago
Supporting self-adaptation in streaming data mining applications
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
Liang Chen, Gagan Agrawal
DATE
1998
IEEE
108views Hardware» more  DATE 1998»
15 years 7 months ago
Stream Communication between Real-Time Tasks in a High-Performance Multiprocessor
The demands in terms of processing performance, communication bandwidth and real-time throughput of many multimedia applications are much higher than today's processing archi...
Jeroen A. J. Leijten, Jef L. van Meerbergen, Adwin...
INFOCOM
2010
IEEE
15 years 1 months ago
Tracking Quantiles of Network Data Streams with Dynamic Operations
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
Jin Cao, Li (Erran) Li, Aiyou Chen, Tian Bu