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This review discusses the use of clustering and visualizations techniques in information visualization, with a focus on citation networks. It explores various themes such as user-controlled layouts, keyword query results, and miscellaneous attributes in data visualization. The text language is English.
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Document Collections 3 cs5984: Information Visualization Chris North
Review • Clustering • themes • Network • “hyperlinks” • Keyword • Query results
Miscellaneous • Multi-D attributes • Citation networks • User controlled layouts in 1D, 2D
Today • Fox, “Envision”, web • aejaaz, ravi
Citation Networks • Butterfly Browser • Mackinlay,… (PARC)
User controlled layouts • Personal collection of documents • E.g. web bookmarks/favorites • 1-D: WebBook • Card,… (PARC)
User controlled layouts • Data Mountain • Robertson,… (Microsoft)
Data Mountain: Experiment • Data Mountain vs. IE favorites • 32 subjects • Organize 100 pages, then retrieve based on cues • Indep. Vars: • UI: Data mountain (old, new), IE • Cue: Title, Summary, Thumbnail, all 3 • Dependent variables: • User performance time • Error rates: wrong pages, failed to find in 2 min • Subjective ratings
Data Mountain: Results • Spatial Memory! • Limited scale
Next Week • Tues: Go to VE, SciViz lab: Torg 3050 • Bowman, Kriz, Kelso • Thurs: McCrickard • Read for Tues Apr 10 • DeFanti, “Scientific Visualization”, pg 39 • Sayle, “Rasmol”, web • Yuying, ?