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CCGRID
2008
IEEE
15 years 4 months ago
GridBatch: Cloud Computing for Large-Scale Data-Intensive Batch Applications
To be competitive, Enterprises are collecting and analyzing increasingly large amount of data in order to derive business insights. However, there are at least two challenges to m...
Huan Liu, Dan Orban
MOBIQUITOUS
2007
IEEE
15 years 4 months ago
Towards Scalable and Robust Service Discovery in Ubiquitous Computing Environments via Multi-hop Clustering
Abstract— Large-scale ubiquitous computing environments require scalable and robust service discovery to enable “anytime, anywhere” computing, which is hard to be satisfied ...
Wei Gao
HPDC
2010
IEEE
14 years 11 months ago
Biocompute: towards a collaborative workspace for data intensive bio-science
The explosion of data in the biological community demands the development of more scalable and flexible portals for bioinformatic computation. To address this need, we put forth c...
Rory Carmichael, Patrick Braga-Henebry, Douglas Th...
SDM
2007
SIAM
152views Data Mining» more  SDM 2007»
14 years 11 months ago
HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
Khaled M. Hammouda, Mohamed S. Kamel
DAWAK
2000
Springer
15 years 2 months ago
Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Alexander Maedche, Andreas Hotho, Markus Wiese