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» Streaming SPARQL - Extending SPARQL to Process Data Streams
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135
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ICDE
2009
IEEE
174views Database» more  ICDE 2009»
15 years 10 months ago
Sketching Sampled Data Streams
—Sampling is used as a universal method to reduce the running time of computations – the computation is performed on a much smaller sample and then the result is scaled to comp...
Florin Rusu, Alin Dobra
163
Voted
SIGMETRICS
2011
ACM
208views Hardware» more  SIGMETRICS 2011»
14 years 6 months ago
Structure-aware sampling on data streams
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Edith Cohen, Graham Cormode, Nick G. Duffield
142
Voted
ASC
2008
15 years 3 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
16 years 4 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
218
Voted
VLDB
2004
ACM
128views Database» more  VLDB 2004»
16 years 3 months ago
Operator scheduling in data stream systems
In many applications involving continuous data streams, data arrival is bursty and data rate fluctuates over time. Systems that seek to give rapid or realtime query responses in su...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...