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» Applying Grid Technologies to Distributed Data Mining
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CASCON
2004
129views Education» more  CASCON 2004»
13 years 9 months ago
Building predictors from vertically distributed data
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...
Sabine M. McConnell, David B. Skillicorn
CLUSTER
2004
IEEE
13 years 7 months ago
DyRAM: An Active Reliable Multicast Framework for Data Distribution
Group communications (multicast) are foreseen to be one of the most critical yet challenging technologies to meet the exponentially growing demands for data distribution in a large...
Moufida Maimour, CongDuc Pham
HPDC
2010
IEEE
13 years 9 months ago
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network
In preparation for the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report, the climate community will run the Coupled Model Intercomparison Project phase 5 (...
Rajkumar Kettimuthu, Alex Sim, Dan Gunter, Bill Al...
KDD
2001
ACM
228views Data Mining» more  KDD 2001»
14 years 8 months ago
REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive indust
REVI-MINER is a KDD-environment which supports the detection and analysis of deviations in warranty and goodwill cost statements. The system was developed within the framework of ...
Edgar Hotz, Udo Grimmer, W. Heuser, Gholamreza Nak...
FGCS
2008
134views more  FGCS 2008»
13 years 8 months ago
Large scale agent-based simulation on the grid
The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locatio...
Dan Chen, Georgios K. Theodoropoulos, Stephen John...