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» Distributed and Parallel Data Mining on the Grid
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IPPS
2003
IEEE
14 years 1 months ago
Simulation of Dynamic Data Replication Strategies in Data Grids
Data Grids provide geographically distributed resources for large-scale data-intensive applications that generate large data sets. However, ensuring efficient access to such huge...
Houda Lamehamedi, Zujun Shentu, Boleslaw K. Szyman...
EGC
2005
Springer
14 years 2 months ago
Interactive Visualization of Grid Monitoring Data on Multiple Client Platforms
Most current Grid monitoring systems provide a visual user interface. With recent advances in multimedia capabilities in user terminals, there is a strong trend towards interactive...
Lea Skorin-Kapov, Igor S. Pandzic, Maja Matijasevi...
EAGC
2004
Springer
14 years 2 months ago
Monitoring Message-Passing Parallel Applications in the Grid with GRM and Mercury Monitor
Application monitoring in the grid for parallel applications is hardly supported in recent grid infrastructures. There is a need to visualize the behavior of the program during its...
Norbert Podhorszki, Zoltán Balaton, Gabor G...
EUROPAR
1999
Springer
14 years 28 days ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 9 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...