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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 8 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
156
Voted
GPC
2008
Springer
15 years 5 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 8 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
15 years 10 months 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
140
Voted
ICPADS
2006
IEEE
15 years 10 months 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