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IPPS
2000
IEEE
13 years 11 months ago
Scalable Parallel Clustering for Data Mining on Multicomputers
This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
D. Foti, D. Lipari, Clara Pizzuti, Domenico Talia
CORR
2006
Springer
110views Education» more  CORR 2006»
13 years 7 months ago
Methods for Partitioning Data to Improve Parallel Execution Time for Sorting on Heterogeneous Clusters
The aim of the paper is to introduce general techniques in order to optimize the parallel execution time of sorting on a distributed architectures with processors of various speeds...
Christophe Cérin, Jean-Christophe Dubacq, J...
BMCBI
2004
125views more  BMCBI 2004»
13 years 7 months ago
A functional hierarchical organization of the protein sequence space
Background: It is a major challenge of computational biology to provide a comprehensive functional classification of all known proteins. Most existing methods seek recurrent patte...
Noam Kaplan, Moriah Friedlich, Menachem Fromer, Mi...
AI
2010
Springer
13 years 7 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
ICDT
2009
ACM
150views Database» more  ICDT 2009»
14 years 8 months ago
Optimizing user views for workflows
A technique called user views has recently been proposed to focus user attention on relevant information in response to provenance queries over workflow executions [1, 2]: Given u...
Olivier Biton, Susan B. Davidson, Sanjeev Khanna, ...