Transformation techniques in data mining
Transforming data is essential within data mining as a precursor to many applications such as rule induction and Multivariate Adaptive Regression Splines. The problems arising from the use of categorical valued data in rule induction are reduced confidence (accuracy), support and coverage. We introd...
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University of East Anglia
2004
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.410093 |