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CCGRID
2004
IEEE
13 years 8 months ago
Privacy-preserving association rule mining in large-scale distributed systems
Data privacy is a major concern that threatens the widespread deployment of Data Grids in domains such as health-care and finance. We propose a unique approach for obtaining knowl...
Assaf Schuster, Ran Wolff, Bobi Gilburd
ARCS
2004
Springer
13 years 10 months ago
Distributed and Parallel Data Mining on the Grid
Abstract: This paper presents the initial design and implementation of a Gridbased distributed and parallel data mining system. The Grid system, namely the Business Intelligence Gr...
Tianchao Li, Toni Bollinger
ICCS
2003
Springer
13 years 10 months ago
Parallelisation of Sparse Grids for Large Scale Data Analysis
Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
Jochen Garcke, Markus Hegland, Ole Møller N...
FGCS
2007
86views more  FGCS 2007»
13 years 4 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
FGCS
2007
78views more  FGCS 2007»
13 years 4 months ago
Promoting performance and separation of concerns for data mining applications on the grid
Grid Computing brought the promise of making high-performance computing cheaper and more easily available than traditional supercomputing platforms. Such a promise was very well r...
Vasco Furtado, Francisco Flávio de Souza, W...