Big Data has become a ubiquitous phrase because its simple phrase speaks to everyone. 'Big' depends on your perspective, one person's standard is another's extreme, and in all cases we need to explore our data if it is to support our decisions.
Data Visualization DC is happy to coordinate with Big Data Week to present Professor Ben Shneiderman's "Information Visualization for Knowledge Discovery: Turning Messy BigData into Actionable SmallData". Ben's interactive visualization tools have led to commercial success stories such as Spotfire, Smart Money's Market Map and the Hive Group, as well as research tools such as TimeSearcher, developed at UMD for time series data analysis. The integration of statistics with visualizations has been successfully applied to temporal event sequences such as electronic health records (Lifelines2 andLifeflow) and social network data (SocialAction and NodeXL).
Ben Shneiderman is a Professor in the Department of Computer Science, Founding Director [masked]) of the Human-Computer Interaction Laboratory, and a member of the Institute for Advanced Computer Studies at the University of Maryland, College Park. He was elected as a Fellow of the Association for Computing (ACM) in 1997 and a Fellow of the American Association for the Advancement of Science (AAAS) in 2001. He received the ACM SIGCHI Lifetime Achievement Award in 2001. He is a member of the National Academy of Engineering.
He pioneered the highlighted textual link in 1983, and it became part of Hyperties, a precursor to the web. His move into information visualization spawned Spotfire, known for pharmaceutical drug discovery and genomic data analysis. He is a technical advisor for the treemap visualization producer, The Hive Group.