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» Mining Very Large Databases
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KDD
2004
ACM
131views Data Mining» more  KDD 2004»
14 years 10 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...
CORR
2000
Springer
120views Education» more  CORR 2000»
13 years 10 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
SIGMOD
2007
ACM
153views Database» more  SIGMOD 2007»
14 years 10 months ago
Scaling games to epic proportion
We introduce scalability for computer games as the next frontier for techniques from data management. A very important aspect of computer games is the artificial intelligence (AI)...
Walker M. White, Alan J. Demers, Christoph Koch, J...
LISA
2007
14 years 11 days ago
Application Buffer-Cache Management for Performance: Running the World's Largest MRTG
An operating system’s readahead and buffer-cache behaviors can significantly impact application performance; most often these better performance, but occasionally they worsen it...
David Plonka, Archit Gupta, Dale Carder
CIKM
2010
Springer
13 years 8 months ago
Preserving location and absence privacy in geo-social networks
Online social networks often involve very large numbers of users who share very large volumes of content. This content is increasingly being tagged with geo-spatial and temporal c...
Dario Freni, Carmen Ruiz Vicente, Sergio Mascetti,...