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» Experimental Design for Variable Selection in Data Bases
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KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 8 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
IMC
2006
ACM
16 years 4 days ago
The need for cross-layer information in access point selection algorithms
The low price of commodity wireless LAN cards and access points (APs) has resulted in the rich proliferation of high density WLANs in enterprise, academic environments, and public ...
Karthikeyan Sundaresan, Konstantina Papagiannaki
INFOVIS
2003
IEEE
15 years 11 months ago
Exploring High-D Spaces with Multiform Matrices and Small Multiples
We introduce an approach to visual analysis of multivariate data that integrates several methods from information visualization, exploratory data analysis (EDA), and geovisualizat...
Alan M. MacEachren, Xiping Dai, Frank Hardisty, Di...
JMM2
2006
111views more  JMM2 2006»
15 years 6 months ago
A Microscopic Telepathology System for Multiresolution Computer-Aided Diagnostics
The aim of the presented system is simplification and speedup of the daily pathological examination routine. The system combines telepathology with computer-aided diagnostics algor...
Grigory Begelman, Michael Pechuk, Ehud Rivlin, Edm...
AAAI
2008
15 years 8 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes