\Identity disclosure" problem on publishing social network data has gained intensive focus from academia. Existing k-anonymization algorithms on social network may result in n...
Yazhe WANG, Long XIE, Baihua ZHENG, and Ken C. K. ...
Automatic adaptation of content for mobile devices is a challenging problem because optimal adaptation often depends on the usage semantics of content, as well as the context of u...
Iqbal Mohomed, Jim Chengming Cai, Sina Chavoshi, E...
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
In order to understand the evolution of online identities, we measured the correlation between past and current representations of self on the MySpace social network. We applied s...
Abstract. When smart objects participate in context-aware applications, changes in their real-world environment can have a significant impact on underlying networking structures. ...