Abstract
This 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.
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Valdés, J.J. (2003). Virtual Reality Representation of Information Systems and Decision Rules: An Exploratory Technique for Understanding Data and Knowledge Structure. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_101
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DOI: https://doi.org/10.1007/3-540-39205-X_101
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