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Diverse information integration and visualization (Proceedings Paper)

Author(s): Susan L. Havre; Anuj Shah; Christian Posse; Bobbie-Jo Webb-Robertson
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Visualization and Data Analysis 2006, Robert F. Erbacher; Jonathan C. Roberts; Matti T. Gröhn; Katy Börner, Editors, 60600M

Date: 16 January 2006

Paper Abstract

This paper presents and explores a technique for visually integrating and exploring diverse information. Researchers and analysts seeking knowledge and understanding of complex systems have increasing access to related, but diverse, data. These data provide an opportunity to consider entities of interest from multiple informational perspectives not available from any single, data or information type. These multiple perspectives are derived from diverse, but related data and integrated for simultaneous ana
DOI: 10.1117/12.643492
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