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APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
15 years 7 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
EDBT
2012
ACM
308views Database» more  EDBT 2012»
13 years 8 months ago
Transactional stream processing
Many stream processing applications require access to a multitude of streaming as well as stored data sources. Yet there is no clear semantics for correct continuous query executi...
Irina Botan, Peter M. Fischer, Donald Kossmann, Ne...
ICDCSW
2007
IEEE
15 years 12 months ago
Group-aware Stream Filtering
In this paper we are concerned with disseminating high-volume data streams to many simultaneous context-aware applications over a low-bandwidth wireless mesh network. For bandwidt...
Ming Li, David Kotz
TJS
1998
101views more  TJS 1998»
15 years 5 months ago
Compiler Support for Array Distribution on NUMA Shared Memory Multiprocessors
Management of program data to improve data locality and reduce false sharing is critical for scaling performanceon NUMA shared memorymultiprocessors. We use HPF-like data decomposi...
Tarek S. Abdelrahman, Thomas N. Wong
ICALP
2009
Springer
16 years 5 months ago
Revisiting the Direct Sum Theorem and Space Lower Bounds in Random Order Streams
Estimating frequency moments and Lp distances are well studied problems in the adversarial data stream model and tight space bounds are known for these two problems. There has been...
Sudipto Guha, Zhiyi Huang