Download | - View accepted manuscript: Data and knowledge visualization with virtual reality spaces, neural networks and rough sets : application to cancer and geophysical prospecting data (PDF, 842 KiB)
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DOI | Resolve DOI: https://doi.org/10.1016/j.eswa.2012.05.082 |
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Author | Search for: Valdés, Julio J.1; Search for: Romero, Enrique; Search for: Barton, Alan J.1 |
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Affiliation | - National Research Council of Canada. Information and Communication Technologies
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Format | Text, Article |
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Subject | data and knowledge visualization; visual data mining; virtual reality; data projection; neural networks; rough sets |
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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. |
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Publication date | 2012-12-15 |
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In | |
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Language | English |
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Peer reviewed | Yes |
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NPARC number | 21268013 |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | 313fd8b5-e49a-4cd5-a515-48fabf6c9e84 |
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Record created | 2013-04-03 |
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Record modified | 2020-06-04 |
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