Kernel Methods and Visualization for Interval Data Mining
نویسندگان
چکیده
We propose to use kernel methods and visualization tool for mining interval data. When large datasets are aggregated into smaller data sizes we need more complex data tables e.g interval type instead of standard ones. Our investigation aims at extending kernel methods to interval data analysis and using graphical tools to explain the obtained results. The user deeply understands the models’ behaviour towards data. The numerical test results are obtained on real and artificial datasets.
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Kernel-based Methods and Visualization for Interval Data Analysis
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تاریخ انتشار 2005