We present iClusterDL, a self-organising overlay network that supports information retrieval and filtering functionality in a digital library environment. iClusterDL is able to han...
Paraskevi Raftopoulou, Euripides G. M. Petrakis, C...
Current systems for managing workload on clusters of workstations, particularly those available for Linuxbased (Beowulf) clusters, are typically based on traditional process-based...
With this work in progress we propose a visualization system for stock market charts. Insight into stock charts is important in technical stock market analysis where exclusively t...
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...