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» Applying Grid Technologies to Distributed Data Mining
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VLDB
2004
ACM
106views Database» more  VLDB 2004»
14 years 1 months ago
Structures, Semantics and Statistics
At a fundamental level, the key challenge in data integration is to reconcile the semantics of disparate data sets, each expressed with a different database structure. I argue th...
Alon Y. Halevy
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 5 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
SADM
2010
196views more  SADM 2010»
13 years 2 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
BIODATAMINING
2008
147views more  BIODATAMINING 2008»
13 years 8 months ago
Neural networks for genetic epidemiology: past, present, and future
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughpu...
Alison A. Motsinger-Reif, Marylyn D. Ritchie
HT
2009
ACM
14 years 2 months ago
Hyperincident connected components of tagging networks
Data created by social bookmarking systems can be described as 3-partite 3-uniform hypergraphs connecting documents, users, and tags (tagging networks), such that the toolbox of c...
Nicolas Neubauer, Klaus Obermayer