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» Embedding Heterogeneous Data Using Statistical Models
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FGCS
2007
160views more  FGCS 2007»
15 years 3 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
ICWS
2009
IEEE
16 years 10 days ago
SOA-Based Integration of the Internet of Things in Enterprise Services
Advances in the areas of embedded systems, computing, and networking are leading to an infrastructure composed of millions of heterogeneous devices. These devices will not simply ...
Patrik Spiess, Stamatis Karnouskos, Dominique Guin...
IJCAI
2001
15 years 4 months ago
Executing Reactive, Model-based Programs through Graph-based Temporal Planning
In the future, webs of unmanned air and space vehicles will act together to robustly perform elaborate missions in uncertain environments. We coordinate these systems by introduci...
Phil Kim, Brian C. Williams, Mark Abramson
WISE
2009
Springer
16 years 10 days ago
Web Queries: From a Web of Data to a Semantic Web
ct One significant effort towards combining the virtues of Web search, viz. being accessible to untrained users and able to cope with vastly heterogeneous data, with those of dat...
François Bry, Tim Furche, Klara A. Weiand
BICOB
2010
Springer
15 years 8 months ago
A Grid-Enabled Problem Solving Environment for QTL Analysis in R
We present a grid-enabled problem solving environment (PSE), for multidimensional QTL analysis. The concept of a computational grid has not been fully realized within this and oth...
Mahen Jayawardena, Carl Nettelblad, Salman Zubair ...