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» Distributed Data Mining Models as Services on the Grid
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IJIIDS
2008
201views more  IJIIDS 2008»
15 years 4 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 4 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
CORR
2004
Springer
85views Education» more  CORR 2004»
15 years 4 months ago
A dynamical model of a GRID market
We discuss potential market mechanisms for the GRID. A complete dynamical model of a GRID market is defined with three types of agents. Providers, middlemen and users exchange uni...
Uli Harder, Peter G. Harrison, Maya Paczuski, Teja...
IDA
2003
Springer
15 years 9 months ago
Distributed Regression for Heterogeneous Data Sets
Existing meta-learning based distributed data mining approaches do not explicitly address context heterogeneity across individual sites. This limitation constrains their applicatio...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
EUROPAR
2005
Springer
15 years 10 months ago
Grid-BGC: A Grid-Enabled Terrestrial Carbon Cycle Modeling System
Grid-BGC is a Grid-enabled terrestrial biogeochemical cycle simulator collaboratively developed by the National Center for Atmospheric Research (NCAR) and the University of Colorad...
Jason Cope, Craig Hartsough, Peter Thornton, Henry...