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» Scaling Clustering Algorithms to Large Databases
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117
Voted
ICPADS
2008
IEEE
15 years 10 months ago
Parallel Large Scale Inference of Protein Domain Families
The resolution of combinatorial assortments of protein sequences into domains is a prerequisite for protein sequence interpretation. However the recognition and clustering of homo...
Daniel Kahn, Clément Rezvoy, Fréd&ea...
206
Voted
ICDE
1999
IEEE
139views Database» more  ICDE 1999»
16 years 5 months ago
Clustering Large Datasets in Arbitrary Metric Spaces
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehr...
130
Voted
ICPADS
2006
IEEE
15 years 9 months ago
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment
When computationally feasible, mining extremely large databases produces tremendously large numbers of frequent patterns. In many cases, it is impractical to mine those datasets d...
Mohammad El-Hajj, Osmar R. Zaïane
154
Voted
IPPS
2007
IEEE
15 years 10 months ago
A Model for Large Scale Self-Stabilization
We introduce a new model for distributed algorithms designed for large scale systems that need a low-overhead solution to allow the processes to communicate with each other. We as...
Thomas Hérault, Pierre Lemarinier, Olivier ...
126
Voted
EUROPAR
2006
Springer
15 years 7 months ago
Parallel Solution of Large-Scale and Sparse Generalized Algebraic Riccati Equations
We discuss a parallel algorithm for the solution of large-scale generalized algebraic Riccati equations with dimension up to O(105 ). We survey the numerical algorithms underlying ...
José M. Badía, Peter Benner, Rafael ...