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DMIN
2007
203views Data Mining» more  DMIN 2007»
13 years 11 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
14 years 4 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
12 years 6 days ago
Unsupervised feature selection for linked social media data
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for eï¬...
Jiliang Tang, Huan Liu
KDD
2008
ACM
130views Data Mining» more  KDD 2008»
14 years 10 months ago
Unsupervised feature selection for principal components analysis
Christos Boutsidis, Michael W. Mahoney, Petros Dri...