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» The Sloan Digital Sky Survey and beyond
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SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
13 years 8 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
CORR
2002
Springer
105views Education» more  CORR 2002»
13 years 7 months ago
Petabyte Scale Data Mining: Dream or Reality?
Science is becoming very data intensive1 . Today's astronomy datasets with tens of millions of galaxies already present substantial challenges for data mining. In less than 1...
Alexander S. Szalay, Jim Gray, Jan vandenBerg
ICDE
2005
IEEE
118views Database» more  ICDE 2005»
14 years 8 months ago
Bypass Caching: Making Scientific Databases Good Network Citizens
Scientific database federations are geographically distributed and network bound. Thus, they could benefit from proxy caching. However, existing caching techniques are not suitabl...
Tanu Malik, Randal C. Burns, Amitabh Chaudhary
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
14 years 4 months ago
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
Kamalika Das, Kanishka Bhaduri, Sugandha Arora, We...
KDD
2004
ACM
131views Data Mining» more  KDD 2004»
14 years 7 months ago
Fast nonlinear regression via eigenimages applied to galactic morphology
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
Brigham Anderson, Andrew W. Moore, Andrew Connolly...