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» Efficient Discovery of Confounders in Large Data Sets
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P2PKM
2004
13 years 10 months ago
Merging G-Grid P2P Systems While Preserving Their Autonomy
Peer-to-Peer (P2P) systems share and manage huge amounts of data and resources distributed across a large number of machines. In pure P2P environments the control is totally decent...
Gianluca Moro, Gabriele Monti, Aris M. Ouksel
SPIESR
1998
151views Database» more  SPIESR 1998»
13 years 10 months ago
Synthesizing Parallel Imaging Applications Using the CAP Computer-Aided Parallelization Tool
Abstract. Imaging applications such as filtering, image transforms and compression/decompression require vast amounts of computing power when applied to large data sets. These appl...
Benoit A. Gennart, Marc Mazzariol, Vincent Messerl...
EOR
2007
165views more  EOR 2007»
13 years 8 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
CAD
2005
Springer
13 years 8 months ago
Lossless compression of predicted floating-point geometry
The size of geometric data sets in scientific and industrial applications is constantly increasing. Storing surface or volume meshes in standard uncompressed formats results in la...
Martin Isenburg, Peter Lindstrom, Jack Snoeyink
ICDE
2001
IEEE
149views Database» more  ICDE 2001»
14 years 10 months ago
Selectivity Estimation for Spatial Joins
Spatial Joins are important and time consuming operations in spatial database management systems. It is crucial to be able to accurately estimate the performance of these operatio...
Ning An, Zhen-Yu Yang, Anand Sivasubramaniam