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» Distributed and Parallel Data Mining on the Grid
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IPPS
2003
IEEE
15 years 11 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
15 years 11 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
15 years 11 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
15 years 10 months 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»
16 years 6 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...