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» Distributed data mining in grid computing environments
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KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 7 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 7 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
CCGRID
2006
IEEE
16 years 21 days ago
Learning-Based Negotiation Strategies for Grid Scheduling
One of the key requirement for Grid infrastructures is the ability to share resources with nontrivial qualities of service. However, resource management in a decentralized infrast...
Jiadao Li, Ramin Yahyapour
ICSE
2008
IEEE-ACM
16 years 7 months ago
Developing a security protocol for a distributed decision support system in a healthcare environment
In this paper, we describe the unique security issues involved in healthcare domains. These have been addressed to the needs of the HealthAgents project. In the proposed approach,...
Liang Xiao 0002, Paul H. Lewis, Alex Gibb
CCGRID
2004
IEEE
15 years 10 months ago
GTP: group transport protocol for lambda-Grids
The notion of lambda-Grids posits plentiful collections of computing and storage resources richly interconnected by dedicated dense wavelength division multiplexing (DWDM) optical...
Xinran (Ryan) Wu, Andrew A. Chien