Data-Intensive Computing Initiative (DICI)
Interactive Visual Content Analysis of Real-Time Data Streams
Technical Contact: George Chin, Jr.
Executive Summary
The research outcomes from this new project will provide a visual representation for multiple types of streaming data. Initially, we will focus on two data types: text and network/transaction traffic. The interactive analysis environment will allow users to view, navigate, and explore large data spaces as well as extract relevant portions of the data for more in-depth analysis through other analysis technique, and its analysis capabilities will expand beyond text to allow analysis of images and other data types within a common environment. Through visualizations, the network data becomes immediately available and interpretable by higher-level analysts that are not necessarily computer network engineers but still need to integrate computer network analysis with other intelligence analysis activities.