Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Tree-Maps: a space-filling approach to the visualization of hierarchical information structures
VIS '91 Proceedings of the 2nd conference on Visualization '91
IEEE Transactions on Visualization and Computer Graphics
ManyEyes: a Site for Visualization at Internet Scale
IEEE Transactions on Visualization and Computer Graphics
Visual Analytics: Scope and Challenges
Visual Data Mining
Large-Scale Network Monitoring for Visual Analysis of Attacks
VizSec '08 Proceedings of the 5th international workshop on Visualization for Computer Security
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
IEEE Transactions on Visualization and Computer Graphics
Real-time visual analytics for event data streams
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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In the Future Internet, Big Data can not only be found in the amount of traffic, logs or alerts of the network infrastructure, but also on the content side. While the term Big Data refers to the increase in available data, this implicitly means that we must deal with problems at a larger scale and thus hints at scalability issues in the analysis of such data sets. Visual Analytics is an enabling technology, that offers new ways of extracting information from Big Data through intelligent, interactive internet and security solutions. It derives its effectiveness both from scalable analysis algorithms, that allow processing of large data sets, and from scalable visualizations. These visualizations take advantage of human background knowledge and pattern detection capabilities to find yet unknown patterns, to detect trends and to relate these findings to a holistic view on the problems. Besides discussing the origins of Visual Analytics, this paper presents concrete examples of how the two facets, content and infrastructure, of the Future Internet can benefit from Visual Analytics. In conclusion, it is the confluence of both technologies that will open up new opportunities for businesses, e-governance and the public.