Hornero: Thunderstorms Characterization using Visual Analytics

Collaborative Visual Analytics 1 COLLABORATIVE VISUAL ANALYTICS

Using Visual Analytics for Web Intrusion Detection

Web sites are likely to be regularly scanned and attacked by both automated and manual means. Intrusion Detection Systems (IDS) assist security analysts by automatically identifying potential attacks from network activity and produce alerts describing the details of these intrusions. However, IDS have problems, such as false positives, operational issues in high-speed environments and the diffi...

Provenance for Intelligence Analysis using Visual Analytics

In this paper we discuss various aspects in intelligence analysis relating to provenance and the new requirements resulting from the changed nature of terrorist activities. We propose a three-layer provenance model which relates the scope of provenance to the intelligence workflow and the idea of a ’provenance reasoning workspace’ for integrating provenance information into visual analytic tools.

Discovering Medical Knowledge Using Visual Analytics

Due to advanced technologies, the amount of biomedical data has been increasing drastically. Such large data sets might be obtained from hospitals, medical practices or laboratories and can be used to discover unknown knowledge and to find and reflect hypotheses. Based on this fact, knowledge discovery systems can support experts to make further decisions, explore the data or to predict future ...

Studying commuting behaviours using collaborative visual analytics

Mining a large origin-destination dataset of journeys made through London’s Cycle Hire Scheme (LCHS), we develop a technique for automatically classifying commuting behaviour that involves a spatial analysis of cyclists’ journeys. We identify a subset of potential commuting cyclists, and for each individual define a plausible geographic area representing their workplace. All peak-time journeys ...