Real-time frequent pattern mining for business intelligence systems are currently in the focal area of research. In a number of areas of doing business, especially in the arena of...
In recent years there has been growing interest in faceted grouping of documents for Interactive Information Retrieval (IIR). It is suggested that faceted grouping can offer a fl...
In this paper, we show that representation and reasoning techniques used in traditional knowledge engineering and the emerging Semantic Web can play an important role for heteroge...
Content Distribution Networks (CDNs) are increasingly being used to disseminate data in today's Internet aiming at reducing the load on the origin server and the traffic on t...
George Pallis, Athena Vakali, Konstantinos Stamos,...
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...