ترجمه مقاله : Attribute and Case Selection for NN Classifierthrough Rough Sets and Naturally Inspired Algorithms Abstract. Supervised classification is one of the mostactive research fields in the Artificial Intelligencecommunity. Nearest Neighbor (NN) is one of thesimplest and most consistently accurate approaches tosupervised classification. The training setpreprocessing is essential for obtaining high qualityclassification results. This paper introduces an attributeand case selection algorit ...