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» Unsupervised feature selection for linked social media data
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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 7 months 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 eļ¬€ective in dealing with high-dimensional data for eļ¬...
Jiliang Tang, Huan Liu
SDM
2012
SIAM
258views Data Mining» more  SDM 2012»
11 years 7 months ago
Feature Selection with Linked Data in Social Media
Feature selection is widely used in preparing highdimensional data for eļ¬€ective data mining. Increasingly popular social media data presents new challenges to feature selection....
Jiliang Tang, Huan Liu
ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
13 years 2 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....
PAMI
2012
11 years 7 months ago
Exploring Context and Content Links in Social Media: A Latent Space Method
ā€”Social media networks contain both content and context-speciļ¬c information. Most existing methods work with either of the two for the purpose of multimedia mining and retrieva...
Guo-Jun Qi, Charu C. Aggarwal, Qi Tian, Heng Ji, T...
CVPR
2008
IEEE
14 years 6 months ago
Unsupervised modeling of object categories using link analysis techniques
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Gunhee Kim, Christos Faloutsos, Martial Hebert