Visualizing Big Data

Many of today’s critical applications require the real–time processing of multiple streams of data, each stream flowing at a certain rate that may suddenly change or be temporarily interrupted. Streams can originate from news feeds, stock data streams, sensors, weather data, or log activity on a social network. The data streams have a variety of data types – text, images, audio, video, meshes, volumes, transactions, and metadata. We will use the Augmentarium to develop an integrated visual analysis and knowledge discovery system, to help in making sense out of multiple data streams and their relationships for a variety of application domains, including ecological, telecommunication networks, financial networks, and social networks.