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» Applying Grid Technologies to Distributed Data Mining
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CIKM
2001
Springer
13 years 11 months ago
SQL Database Primitives for Decision Tree Classifiers
Scalable data mining in large databases is one of today's challenges to database technologies. Thus, substantial effort is dedicated to a tight coupling of database and data ...
Kai-Uwe Sattler, Oliver Dunemann
CCGRID
2003
IEEE
14 years 1 months ago
Evaluation of the inter-cluster data transfer on Grid environment
High-performance peer-to-peer transfer between clusters will be fundamental technology base for various Grid middleware, such as large-scale data transfer in DataGrid settings, or...
Shoji Ogura, Satoshi Matsuoka, Hidemoto Nakada
IEEEHPCS
2010
13 years 2 months ago
Preliminary results for Atmospheric Remote Sensing data processing through Grid computing
In September 2009, the Indian Remote Sensing OCEANSAT-2 satellite was launched from Sriharikota (India). Moreover, OCEANSAT-2 carry on-board a third payload, called ROSA (Radio Oc...
Lorenzo Mossucca, Olivier Terzo, Maurizio Molinaro...
GRID
2004
Springer
14 years 1 months ago
Phoenix: Making Data-Intensive Grid Applications Fault-Tolerant
A major hurdle facing data intensive grid applications is the appropriate handling of failures that occur in the grid-environment. Implementing the fault-tolerance transparently a...
George Kola, Tevfik Kosar, Miron Livny
CIDM
2007
IEEE
14 years 2 months ago
Data Mining of MISR Aerosol Product using Spatial Statistics
— In climate models, aerosol forcing is the major source of uncertainty in climate forcing, over the industrial period. To reduce this uncertainty, instruments on satellites have...
Tao Shi, Noel Cressie