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» A Large Scale Clustering Scheme for Kernel K-Means
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CIKM
2009
Springer
13 years 11 months ago
Query processing of massive trajectory data based on mapreduce
With the development of positioning technologies and the boosting deployment of inexpensive location-aware sensors, large volumes of trajectory data have emerged. However, efficie...
Qiang Ma, Bin Yang 0002, Weining Qian, Aoying Zhou
CIKM
2009
Springer
14 years 25 days ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
NSDI
2007
13 years 8 months ago
Ricochet: Lateral Error Correction for Time-Critical Multicast
Ricochet is a low-latency reliable multicast protocol designed for time-critical clustered applications. It uses IP Multicast to transmit data and recovers from packet loss in end...
Mahesh Balakrishnan, Kenneth P. Birman, Amar Phani...
IJNSEC
2008
124views more  IJNSEC 2008»
13 years 6 months ago
Scalable Delay-constrained Multicast Group Key Management
In the last few years, multicasting is increasingly used as an efficient communication mechanism for group-oriented applications in the Internet. Some multicast applications requi...
Said Gharout, Yacine Challal, Abdelmadjid Bouabdal...
IPPS
2005
IEEE
13 years 12 months ago
Reducing Power with Performance Constraints for Parallel Sparse Applications
Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...