Kernel-Based Data Mining Approach with Variable Selection for Nonlinear High-Dimensional Data
In statistical data mining research, datasets often have nonlinearity and high-dimensionality. It has become difficult to analyze such datasets in a comprehensive manner using traditional statistical methodologies. Kernel-based data mining is one of the most effective statistical methodologies to in...
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| Format: | Others |
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Trace: Tennessee Research and Creative Exchange
2010
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| Online Access: | http://trace.tennessee.edu/utk_graddiss/676 |