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» Applying Grid Technologies to Distributed Data Mining
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SEM
2004
Springer
14 years 1 months ago
Experience with Lightweight Distributed Component Technologies in Business Intelligence Systems
Business Intelligence (BI) systems address the demands of large scale enterprises for operational analytics, management information and decision support tasks. Building such applic...
Leticia Duboc, Tony Wicks, Wolfgang Emmerich
IDA
2003
Springer
14 years 1 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...
ACSW
2007
13 years 9 months ago
Storage and Data Management in EGEE
Distributed management of data is one of the most important problems facing grids. Within the Enabling Grids for Enabling eScience (EGEE) project, currently the world’s largest ...
Graeme A. Stewart, David G. Cameron, Greig A. Cowa...
DEXAW
2004
IEEE
206views Database» more  DEXAW 2004»
13 years 11 months ago
Adaptive Query Processing and the Grid: Opportunities and Challenges
Grid technologies have been developed in response to an increase in demand for computing applications designed to yield the benefits from collaboration, data sharing and sophistic...
Anastasios Gounaris, Norman W. Paton, Rizos Sakell...
IPPS
2008
IEEE
14 years 2 months ago
Providing security to the Desktop Data Grid
Volunteer Computing is becoming a new paradigm not only for the Computational Grid, but also for institutions using production-level Data Grids because of the enormous storage pot...
Jesus Luna, Michail Flouris, Manolis Marazakis, An...