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» Clustering performance data efficiently at massive scales
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EUROPAR
2008
Springer
15 years 7 months ago
Mapping Heterogeneous Distributed Applications on Clusters
Performance of distributed applications largely depends on the mapping of their components on the underlying architecture. On one mponent-based approaches provide an abstraction su...
Sylvain Jubertie, Emmanuel Melin, Jér&eacut...
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
15 years 10 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 6 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
NETGAMES
2006
ACM
15 years 12 months ago
Peer clustering: a hybrid approach to distributed virtual environments
This paper proposes a hybrid architecture for distributed virtual environments, utilizing servers alongside peer-to-peer components. Current research into peer-based systems seeks...
Alvin Chen, Richard R. Muntz
BMCBI
2010
153views more  BMCBI 2010»
15 years 5 months ago
Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massi
Background: Massively parallel sequencing readouts of epigenomic assays are enabling integrative genome-wide analyses of genomic and epigenomic variation. Pash 3.0 performs sequen...
Cristian Coarfa, Fuli Yu, Christopher A. Miller, Z...