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IPPS
2000
IEEE
15 years 7 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
140
Voted
EDBT
2004
ACM
192views Database» more  EDBT 2004»
16 years 3 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
ACSC
2003
IEEE
15 years 8 months ago
Extensible Job Managers for Grid Computing
Grid computing is becoming an important framework for enabling applications to utilize widely distributed collections of computational and data resources, however current grid sof...
Paul D. Coddington, Lici Lu, Darren Webb, Andrew L...
129
Voted
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...
CCGRID
2007
IEEE
15 years 9 months ago
Design and Implementation of a Middleware for Data Storage in Opportunistic Grids
Shared machines in opportunistic grids typically have large quantities of unused disk space. These resources could be used to store application and checkpointing data when the mac...
Raphael Y. de Camargo, Fabio Kon