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» Approximate Clustering on Distributed Data Streams
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ICML
2005
IEEE
14 years 8 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
DEBU
2010
108views more  DEBU 2010»
13 years 7 months ago
Real-Time Traffic Information Management using Stream Computing
With the widespread adoption of location tracking technologies like GPS, the domain of transportation information management has seen growing interest in the last few years. In th...
Alain Biem, Eric Bouillet, Hanhua Feng, Anand Rang...
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
14 years 9 months ago
Adaptive Load Diffusion for Multiway Windowed Stream Joins
In this paper, we present an adaptive load diffusion operator to enable scalable processing of Multiway Windowed Stream Joins (MWSJs) using a cluster system. The load diffusion is...
Xiaohui Gu, Philip S. Yu, Haixun Wang
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
14 years 8 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
HPCA
2003
IEEE
14 years 8 months ago
Evaluating the Impact of Communication Architecture on the Performability of Cluster-Based Services
We consider the impact of different communication architectures on the performability (performance + availability) of cluster-based servers. In particular, we use a combination of ...
Kiran Nagaraja, Neeraj Krishnan, Ricardo Bianchini...