Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment Sorelle A. Friedler ∗ , Yee Lin Tan, Nir J. Peer, and Ben Shneiderman Department of Computer Science, Unive

Source URL: sorelle.friedler.net

Temporal Event Sequence Recommendation A Visual Analytics Approach Fan Du, Catherine Plaisant, Neil Spring, and Ben Shneiderman EVENTACTION Current Record

Source URL: www.cs.umd.edu

The Event Quartet: How Visual Analytics Works for Temporal Data Ben Shneiderman Abstract— Francis Anscombe’s Quartet of bi-variate numerical datasets (1973), each with only 12 data points, were hard to interpret in t

Source URL: eventevent.github.io

A High-Volume Hypothesis Testing: Systematic Exploration of Event Sequence Comparisons SANA MALIK, University of Maryland, College Park BEN SHNEIDERMAN, University of Maryland, College Park FAN DU, University of Maryland

Source URL: hcil2.cs.umd.edu

The Diversity of Data and Tasks in Event Analytics Catherine Plaisant, Ben Shneiderman Abstract— The growing interest in event analytics has resulted in an array of tools and applications using visual analytics techniq

Source URL: eventevent.github.io

design BEN SHNEIDERMAN, et al. © Jane Nelson/Artville LLC.

Source URL: www.cs.umd.edu

Brief Bio and (PR)2: Problems & Pitches – Rants & Raves by Ben Shneiderman Self Introduction BEN SHNEIDERMAN (http://www.cs.umd.edu/~ben) is a Professor in the Department of Computer Science and Founding Director (198

Source URL: vw.slis.indiana.edu

• Humancomputer interaction
• Infographics
• Visualization
• Computational science
• Computer graphics
• Ben Shneiderman
• Information visualization
• Treemapping
• Spotfire
• Conference on Human Factors in Computing Systems
• University of Maryland HumanComputer Interaction Lab
• Catherine Plaisant

Microsoft Word - Data Visualization Report(Feb15).docx

Source URL: idl-bnc.idrc.ca

• Visualization
• Computational science
• Computer graphics
• Infographics
• Scientific modeling
• Data visualization
• Information visualization
• Ben Shneiderman
• Data
• Social Visualization
• Scientific visualization

Atlas of Knowledge Anyone Can Map Katy Börner scimaps.org/atlas2 13 x 11, 250 pp. | 580 illus.

Source URL: cns.iu.edu

• Visualization
• Infographics
• Computational science
• Computer graphics
• American Association for the Advancement of Science
• Katy Brner
• Data visualization
• Ben Shneiderman
• Information visualization
• Cyberinfrastructure for Network Science Center

Microsoft Word - The_Marker_Cluster.docx

Source URL: www.sebastianmeier.eu

• Visualization
• Heat map
• Data visualization
• Information visualization
• Cluster analysis
• Geovisualization
• Ben Shneiderman