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137
Voted
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
15 years 10 months ago
CoTS: A Scalable Framework for Parallelizing Frequency Counting over Data Streams
Applications involving analysis of data streams have gained significant popularity and importance. Frequency counting, frequent elements and top-k queries form a class of operato...
Sudipto Das, Shyam Antony, Divyakant Agrawal, Amr ...
126
Voted
INFOCOM
2009
IEEE
15 years 10 months ago
Distilling Superior Peers in Large-Scale P2P Streaming Systems
Abstract—In large-scale peer-to-peer (P2P) live streaming systems with a limited supply of server bandwidth, increasing the amount of upload bandwidth supplied by peers becomes c...
Zimu Liu, Chuan Wu, Baochun Li, Shuqiao Zhao
149
Voted
SEBD
2003
144views Database» more  SEBD 2003»
15 years 5 months ago
Approximate Query Answering on Sensor Network Data Streams
Abstract. Sensor networks represent a non traditional source of information, as readings generated by sensors flow continuously, leading to an infinite stream of data. Traditiona...
Alfredo Cuzzocrea, Filippo Furfaro, Elio Masciari,...
130
Voted
ISCA
2009
IEEE
150views Hardware» more  ISCA 2009»
15 years 10 months ago
Stream chaining: exploiting multiple levels of correlation in data prefetching
Data prefetching has long been an important technique to amortize the effects of the memory wall, and is likely to remain so in the current era of multi-core systems. Most prefetc...
Pedro Diaz, Marcelo Cintra
144
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...