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¬...
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....
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...
āSocial 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...
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...