Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Since the first operational IPTV networks have been deployed, service providers and operators have struggled to make their subscribers happy and satisfied with their services. To ...
Over recent years, the need to introduce rapidly new telecommunications services has led to the development of the Intelligent Network (IN). These services and the increasingly com...
In this paper, we propose a general-purpose framework that harnesses the power of lightweight virtualization to track applications interactions in a scalable an efficient manner. ...
Yih Huang, Angelos Stavrou, Anup K. Ghosh, Sushil ...