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

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DOIResolve DOI: http://doi.org/10.1016/j.eswa.2012.05.082
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TypeArticle
Journal titleExpert Systems with Applications
ISSN0957-4174
Volume39
Issue18
Pages1319313201; # of pages: 9
Subjectdata and knowledge visualization; visual data mining; virtual reality; data projection; neural networks; rough sets
AbstractVisual 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.
Publication date
PublisherElsevier
LanguageEnglish
AffiliationInformation and Communication Technologies; National Research Council Canada
Peer reviewedYes
NPARC number21268013
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Record identifier313fd8b5-e49a-4cd5-a515-48fabf6c9e84
Record created2013-04-03
Record modified2016-05-09
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