Abstract
In this short position paper, we present a few concrete experiences of Visual Analytics (VA) over big data; as our experiences have been gained on the application domains of cyber-security and Open Source Intelligence (OSINT), which are very relevant and crucial domains targets of possible Virtual Research Environments (VREs), we also discuss and propose an high-level reference architecture and pipeline for a Big Data service in VREs dealing with such aspects, in which the VA part is crucial in order to provide effectiveness to users.
Cite
CITATION STYLE
Angelini, M., Catarci, T., Mecella, M., & Santucci, G. (2016). Visual analytics and mining over big data. Discussing some issues and challenges, and presenting a few experiences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10084 LNCS, pp. 104–114). Springer Verlag. https://doi.org/10.1007/978-3-319-50070-6_8
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