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» Applying Grid Technologies to Distributed Data Mining
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KDD
2001
ACM
192views Data Mining» more  KDD 2001»
14 years 5 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
ICCS
2005
Springer
13 years 10 months ago
Hierarchical Infrastructure for Large-Scale Distributed Privacy-Preserving Data Mining
Abstract. Data Mining is often required to be performed among a number of groups of sites, where the precondition is that no privacy of any site should be leaked out to other sites...
Jinlong Wang, Congfu Xu, Huifeng Shen, Yunhe Pan
GCC
2003
Springer
13 years 10 months ago
A Distributed Media Service System Based on Globus Data-Management Technologies
Recently, emerging high performance applications require the ability to exploit diverse, geographically distributed resources, specifically, in a Grid environment. A collection of ...
Xiang Yu, Shoubao Yang, Yu Hong
GRID
2003
Springer
13 years 10 months ago
Applying Database Support for Large Scale Data Driven Science in Distributed Environments
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
Sivaramakrishnan Narayanan, Ümit V. Ça...
ICCS
2004
Springer
13 years 10 months ago
Applying Grid Computing to the Parameter Sweep of a Group Difference Pseudopotential
Theoretical modeling of chemical and biological processes is a key to understand nature and to predict experiments. Unfortunately, this is very data and computation extensive. Howe...
Wibke Sudholt, Kim Baldridge, David Abramson, Coli...