In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
: Utility companies worldwide are facing a multitude of new challenges, which can not be met with the historically grown, monolithic IT systems currently in use. Service oriented a...
— Cooperation amongst heterogeneous mobile radio systems will be an indispensable feature of ‘beyond 3G’. One key mechanism thereby serving as enabling technique for system i...