Student Social Media Showcase

Ben Shneiderman on Information Visualization for Knowledge Discovery: Big Insights from Big Data

Ben Shneiderman will join us at SSMS 2014 to talk on Information Visualization for Knowledge Discovery: Big Insights from Big Data at 14.00 in the Huxley Lecture Theatre.

Interactive information visualization tools provide researchers with remarkable capabilities to support discovery from Big Data resources. Users can begin with an overview, zoom in on areas of interest, filter out unwanted items, and then click for details-on-demand. The Big Data initiatives and commercial success stories such as Spotfire and Tableau, plus widespread use by prominent sites such as the New York Times have made visualization a key technology.

The central theme is the integration of statistics with visualization as applied for time series data, temporal event sequences such as electronic health records (www.cs.umd.edu/hcil/eventflow), and social network data (www.codeplex.com/nodexl). By temporal pattern search & replace and network motif simplification complex data streams can be analyzed to find meaningful patterns and important exceptions. The talk closes with 8 Golden Rules for Big Data.

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