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the classification task of data mining where prior outliers preprocessing is necessary. …
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spam classification using a fuzzy inference system. Using a rule-based hybrid feature selection technique, we choose the … model for spam classification, and fuzzy logic is employed to categorize each spam class into its severity levels to …
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images were used in this study. The output of the layered architecture is aggregated to perform the binary classification for … skin cancer. The performance of the trained models is investigated for multiclass and binary classification tasks. The …-based multiclass classification models. …
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