Feature selection using multivariate adaptive regression splines in telecommunication fraud detection
Feature selection determines the most significant features for a given task while rejecting the noisy, irrelevant and redundant features of the dataset that might mislead the classifier. Besides, the technique diminishes the dimensionality of the attribute of the dataset, thus reducing computation t...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/93090/1/MuhalimMohamedAmin2020_FeatureSelectionUsingMultivariateAdaptiveRegression.pdf http://eprints.utm.my/id/eprint/93090/ http://dx.doi.org/10.1088/1757-899X/864/1/012059 |
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