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Center for Nonlinear Studies |
With over 16 million Tweets per hour, 600 new blog posts per minute and 400 million active users on Facebook, businesses have begun searching for ways to turn real-time consumer based posts into actionable intelligence. The goal is to extract information from this noisy, unstructured data and use it for trend analysis and prediction. Current practices support the notion that visual analytics environments can play a large role in enabling the effective analysis of such data. In this talk, I will discuss my current research on developing visual analytics solutions for enabling data analysis for predictive analytics across a variety of domains. Examples will focus on crime analysis using geo-located criminal incidence reports and the use of Twitter in Box Office Movie Predictions.
Host: Curt Canada