Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data

Authors:
Julio J. ValdéS;Enrique Romero;Alan J. Barton
Affiliations:
Information and Communication Technologies, National Research Council, Canada;Departament de Llenguatges i Sistemes Informítics, Universitat Politècnica de Catalunya, Spain;Information and Communication Technologies, National Research Council, Canada
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

Visual data mining with virtual reality spaces is used for the representation of data and symbolic knowledge. High quality structure-preserving and maximally discriminative visual representations can be obtained using a combination of neural networks (SAMANN and NDA) and rough sets techniques, so that a proper subsequent analysis can be made. The approach is illustrated with two types of data: for gene expression cancer data, an improvement in classification performance with respect to the original spaces was obtained; for geophysical prospecting data for cave detection, a cavity was successfully predicted.