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ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 7 months ago
Approximate Clustering on Distributed Data Streams
Abstract-- We investigate the problem of clustering on distributed data streams. In particular, we consider the k-median clustering on stream data arriving at distributed sites whi...
Qi Zhang, Jinze Liu, Wei Wang 0010
CIKM
2009
Springer
15 years 9 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
EUROPAR
2004
Springer
15 years 11 months ago
Exploiting Differentiated Tuple Distribution in Shared Data Spaces
The shared data space model has proven to be an effective paradigm for building distributed applications. However, building an efficient distributed implementation remains a chall...
Giovanni Russello, Michel R. V. Chaudron, Maarten ...
VLDB
2005
ACM
196views Database» more  VLDB 2005»
15 years 11 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
CLUSTER
2008
IEEE
16 years 11 days ago
Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection
—We consider the problem of efficiently managing massive data in a large-scale distributed environment. We consider data strings of size in the order of Terabytes, shared and ac...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé