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» Efficient Discovery of Confounders in Large Data Sets
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SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
16 years 6 months ago
Discovering topical structures of databases
The increasing complexity of enterprise databases and the prevalent lack of documentation incur significant cost in both understanding and integrating the databases. Existing solu...
Wensheng Wu, Berthold Reinwald, Yannis Sismanis, R...
ICCV
2009
IEEE
16 years 11 months ago
Mode-Detection via Median-Shift
Median-shift is a mode seeking algorithm that relies on computing the median of local neighborhoods, instead of the mean. We further combine median-shift with Locality Sensitive...
Lior Shapira, Shai Avidan, Ariel Shamir
CORR
2008
Springer
103views Education» more  CORR 2008»
15 years 6 months ago
Core Persistence in Peer-to-Peer Systems: Relating Size to Lifetime
Distributed systems are now both very large and highly dynamic. Peer to peer overlay networks have been proved efficient to cope with this new deal that traditional approaches can ...
Vincent Gramoli, Anne-Marie Kermarrec, Achour Most...
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 6 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
GIS
2004
ACM
16 years 7 months ago
An abstract model of three-dimensional spatial data types
act Model of Three-Dimensional Spatial Data Types Markus Schneider & Brian E Weinrich University of Florida Department of Computer & Information Science & Engineering G...
Markus Schneider, Brian E. Weinrich