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» Distributed data mining in grid computing environments
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VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 10 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
GPC
2008
Springer
15 years 7 months ago
Using Moldability to Improve Scheduling Performance of Parallel Jobs on Computational Grid
In a computational grid environment, a common practice is try to allocate an entire parallel job onto a single participating site. Sometimes a parallel job, upon its submission, ca...
Kuo-Chan Huang, Po-Chi Shih, Yeh-Ching Chung
CCGRID
2004
IEEE
15 years 10 months ago
Distributed virtual computers (DVC): simplifying the development of high performance Grid applications
Distributed Virtual Computer (DVC) is a computing environment which simplifies the development and execution of distributed applications on computational grids. DVC provides a sim...
Nut Taesombut, Andrew A. Chien
ICPP
2005
IEEE
16 years 2 days ago
Service Migration in Distributed Virtual Machines for Adaptive Grid Computing
Computational grids can integrate geographically distributed resources into a seamless environment. To facilitate managing these heterogenous resources, the virtual machine gy pro...
Song Fu, Cheng-Zhong Xu
ICPADS
2006
IEEE
16 years 15 days ago
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment
When computationally feasible, mining extremely large databases produces tremendously large numbers of frequent patterns. In many cases, it is impractical to mine those datasets d...
Mohammad El-Hajj, Osmar R. Zaïane