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» Using Clustering and Blade Clusters in the Terabyte Task
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ADBIS
2006
Springer
166views Database» more  ADBIS 2006»
15 years 3 months ago
Clustering-Based Materialized View Selection in Data Warehouses
materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be costdriven and influenced by the workload experienced...
Kamel Aouiche, Pierre-Emmanuel Jouve, Jér&o...
CLUSTER
2007
IEEE
14 years 11 months ago
Blutopia: Stackable storage for cluster management
— The complexity of today’s computer systems poses a challenge to system administrators. Current systems comprise a multitude of inter-related software components running on di...
Fábio Oliveira, Gorka Guardiola, Jay A. Pat...
ISMB
1998
14 years 11 months ago
Automated Clustering and Assembly of Large EST Collections
The avMlability of large EST(Expressed Sequence Tag)databases has led to a revolution in the waynew genes are cloned. Difficulties arise, however,due to high error rates and redun...
David P. Yee, Darrell Conklin
PAMI
2008
270views more  PAMI 2008»
14 years 9 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
BMCBI
2010
139views more  BMCBI 2010»
14 years 10 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler