Knowledge Mining With VxInsight: Discovery ThroughInteraction

Authors:
George S. Davidson;Bruce Hendrickson;David K. Johnson;Charles E. Meyers;Brian N. Wylie
Affiliations:
Sandia National Laboratories, Albuquerque, NM. gsdavid@sandia.gov;Sandia National Laboratories, Albuquerque, NM. bahendr@sandia.gov;Sandia National Laboratories, Albuquerque, NM. dkjohns@sandia.gov;Sandia National Laboratories, Albuquerque, NM. cemeyer@sandia.gov;Sandia National Laboratories, Albuquerque, NM. bnwylie@sandia.gov
Venue:
Journal of Intelligent Information Systems - Special issue on information visualization: the next frontier
Year:
1998

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Abstract

The explosive growth in the availability of information isoverwhelming traditional information management systems. Althoughindividual pieces of information have become easy to find, the largercontext in which they exist has become harder to track. Thesecontextual questions are ideally suited to visualization since thehuman visual system is remarkably adept at interpreting largequantities of information, and at detecting patterns and anomalies.The challenge is to present the information in a manner thatmaximally leverages our visual skills. This paper discusses a set ofproperties that such a presentation should have, and describes thedesign and functionality of VxInsight, a visualization tool built tothese principles.