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Visualization for knowledge discovery
Author(s) -
Grinstein Georges,
Sieg John C.,
Smith Stuart,
Williams Marian G.
Publication year - 1992
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550070706
Subject(s) - visualization , computer science , field (mathematics) , data science , overhead (engineering) , data visualization , creative visualization , information visualization , human–computer interaction , data mining , mathematics , pure mathematics , operating system
Although the fields of data visualization and automated knowledge discovery (AKD) share many goals, workers in each field have been reluctant to adopt the tools and methods of the other field. Many AKD researchers discourage the use of visualization tools because they believe that dependence on human steering will impede the development of numerical or analytical descriptions of complex data. Many visualization researchers are concerned that their present platforms are being pushed to the limits of their performance by the most advanced visualization techniques and are therefore unwilling to incur the perceived overhead of having a database system mediate access to the data. We argue that these attitudes are somewhat short‐sighted and that the techniques of these two communities are complementary. We discuss a specific visualization system that we have developed and describe the obstacles that must be overcome in integrating it into an AKD system. © 1992 John Wiley & Sons, Inc.