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» Distributed data mining in grid computing environments
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ESCIENCE
2006
IEEE
14 years 3 months ago
Practical Fault-Tolerant Framework for eScience Infrastructure
Many areas of science currently use computing resources as a important part of their research, and many research groups adopt cluster architecture to use them efficiently and mana...
Hyuck Han, Jai Wug Kim, Jongpil Lee, Youngjin Yu, ...
CLOUDCOM
2010
Springer
13 years 6 months ago
Scheduling Hadoop Jobs to Meet Deadlines
User constraints such as deadlines are important requirements that are not considered by existing cloud-based data processing environments such as Hadoop. In the current implementa...
Kamal Kc, Kemafor Anyanwu
CGF
2010
189views more  CGF 2010»
13 years 9 months ago
Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
14 years 1 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
ICPP
2003
IEEE
14 years 2 months ago
Data Conversion for Process/Thread Migration and Checkpointing
Process/thread migration and checkpointing schemes support load balancing, load sharing and fault tolerance to improve application performance and system resource usage on worksta...
Hai Jiang, Vipin Chaudhary, John Paul Walters