Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
In the pervasive computing era, mobile phones and personal digital assistants are widely used for data collection. The traditional user interfaces which are employed for data colle...
Mittapally Kumara Swamy, P. Krishna Reddy, R. Uday...
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
In this paper, we present a case study for the visualisation and analysis of large and complex temporal multivariate networks derived from the Internet Movie DataBase (IMDB). Our ...
Adel Ahmed, Vladimir Batagelj, Xiaoyan Fu, Seok-He...