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Using dissimilarity metrics to identify interesting designs

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dc.contributor.author Feather, M. S. en_US
dc.contributor.author Kiper, J. D. en_US
dc.contributor.author Kalafat, S. en_US
dc.date.accessioned 2004-09-16T23:18:11Z
dc.date.available 2004-09-16T23:18:11Z
dc.date.issued 2003-11-19 en_US
dc.identifier.citation 3rd IEEE International Conference on Data Mining en_US
dc.identifier.citation Melbourne, Australia en_US
dc.identifier.clearanceno 03-1649 en_US
dc.identifier.uri http://hdl.handle.net/2014/7620
dc.description.abstract We report on application of a combination of data mining steps guided by user-directives, and appropriate visualizations to present the results of these steps to the users. en_US
dc.format.extent 3360550 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other design heuristic search optimization data mining en_US
dc.title Using dissimilarity metrics to identify interesting designs en_US


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