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» Computing LTS Regression for Large Data Sets
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EUROSYS
2007
ACM
16 years 1 months ago
Dryad: distributed data-parallel programs from sequential building blocks
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational “vertices” with communication ...
Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrel...
INFOVIS
2000
IEEE
15 years 8 months ago
Polaris: A System for Query, Analysis and Visualization of Multi-Dimensional Relational Databases
In the last several years, large multi-dimensional databases have become common in a variety of applications such as data warehousing and scientific computing. Analysis and explor...
Chris Stolte, Pat Hanrahan
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
15 years 9 months ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
CORR
2012
Springer
176views Education» more  CORR 2012»
13 years 11 months ago
Capturing Topology in Graph Pattern Matching
Graph pattern matching is often defined in terms of subgraph isomorphism, an np-complete problem. To lower its complexity, various extensions of graph simulation have been consid...
Shuai Ma, Yang Cao, Wenfei Fan, Jinpeng Huai, Tian...
TNN
2010
148views Management» more  TNN 2010»
14 years 10 months ago
A fast algorithm for robust mixtures in the presence of measurement errors
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
Jianyong Sun, Ata Kabán