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DATAMINE
2006
127views more  DATAMINE 2006»
15 years 3 months ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen
326
Voted
PODS
2009
ACM
229views Database» more  PODS 2009»
16 years 3 months ago
Computing all skyline probabilities for uncertain data
Skyline computation is widely used in multi-criteria decision making. As research in uncertain databases draws increasing attention, skyline queries with uncertain data have also ...
Mikhail J. Atallah, Yinian Qi
114
Voted
ISPDC
2005
IEEE
15 years 8 months ago
Collaborative Data Distribution with BitTorrent for Computational Desktop Grids
— Data-centric applications are still a challenging issue for Large Scale Distributed Computing Systems. The emergence of new protocols and softwares for collaborative content di...
Baohua Wei, Gilles Fedak, Franck Cappello
SC
2005
ACM
15 years 8 months ago
PerfExplorer: A Performance Data Mining Framework For Large-Scale Parallel Computing
Parallel applications running on high-end computer systems manifest a complexity of performance phenomena. Tools to observe parallel performance attempt to capture these phenomena...
Kevin A. Huck, Allen D. Malony
SSDBM
2003
IEEE
96views Database» more  SSDBM 2003»
15 years 8 months ago
Space Constrained Selection Problems for Data Warehouses and Pervasive Computing
Space constrained optimization problems arise in a multitude of important applications such as data warehouses and pervasive computing. A typical instance of such problems is to s...
Themistoklis Palpanas, Nick Koudas, Alberto O. Men...