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» Co-Scheduling of Computation and Data on Computer Clusters
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130
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PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
15 years 10 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
KDD
2001
ACM
166views Data Mining» more  KDD 2001»
16 years 4 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
151
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TKDE
2008
158views more  TKDE 2008»
15 years 3 months ago
Hierarchical Clustering of Time-Series Data Streams
This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomera...
Pedro Pereira Rodrigues, João Gama, Jo&atil...
CLUSTER
2002
IEEE
15 years 8 months ago
Kernel-Level Caching for Optimizing I/O by Exploiting Inter-Application Data Sharing
With applications becoming larger and the increasing load on high performance systems, it is important to tackle the I/O bottleneck problem from several angles. It is not only ess...
Murali Vilayannur, Mahmut T. Kandemir, Anand Sivas...
144
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CCGRID
2007
IEEE
15 years 10 months ago
Active Data: Supporting the Grid Data Life Cycle
Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the ...
Tim Ho, David Abramson