226 search results - page 20 / 46 » Approximate Clustering on Distributed Data Streams |
MM
2006
ACM
14 years 1 months ago
2006
ACM
Many emerging applications such as video sensor monitoring can benefit from an on-line video correlation system, which can be used to discover linkages between different video s...
STACS
2007
Springer
14 years 1 months ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
CCGRID
2010
IEEE
13 years 8 months ago
2010
IEEE
Abstract--Multi-core processors with accelerators are becoming commodity components for high-performance computing at scale. While accelerator-based processors have been studied in...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
SIGMOD
2008
ACM
14 years 7 months ago
2008
ACM
In this paper, we present Spade - the System S declarative stream processing engine. System S is a large-scale, distributed data stream processing middleware under development at ...