Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data Knowledge Structure

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TypeArticle
ConferenceThe 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC'2003), May 26-29, 2003., Chongqing, China
AbstractThis present paper introduces a virtual reality technique for visual data mining on heterogeneous information systems. The method is based on parametrized mappings between heterogeneous spaces with extended information systems and a virtual reality space. They can be also constructed for unions of heterogeneous and incomplete data sets together with knowledge bases composed by decision rules. This approach has been applied successfully to a wide variety of real-world domains and examples are presented from genomic research and geology.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number46535
NPARC number8914285
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Record identifier56fb7f4a-6735-4674-bccf-386adede39fb
Record created2009-04-22
Record modified2016-05-09
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