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» Distributed and Parallel Data Mining on the Grid
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EGC
2005
Springer
14 years 2 months ago
GLIDE: A Grid-Based Light-Weight Infrastructure for Data-Intensive Environments
Abstract. The promise of the grid is that it will enable public access and sharing of immense amounts of computational and data resources among dynamic coalitions of individuals an...
Chris Mattmann, Sam Malek, Nels Beckman, Marija Mi...
IPPS
2008
IEEE
14 years 3 months ago
Parallel mining of closed quasi-cliques
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
Yuzhou Zhang, Jianyong Wang, Zhiping Zeng, Lizhu Z...
CLUSTER
2004
IEEE
14 years 13 days ago
A client-centric grid knowledgebase
Grid computing brings with it additional complexities and unexpected failures. Just keeping track of our jobs traversing different grid resources before completion can at times be...
George Kola, Tevfik Kosar, Miron Livny
GRID
2008
Springer
13 years 9 months ago
User- and job-centric monitoring: Analysing and presenting large amounts of monitoring data
For data analysis or simulations (e.g. in particle physics) single users submit hundreds or thousands of jobs to the Grid. This puts a new burden on the users side - keeping an ov...
Henrik Eichenhardt, Ralph Müller-Pfefferkorn,...
ICDCS
2002
IEEE
14 years 1 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...