Abstract:
Data classification is broadly defined as the process of organizing data by respective categories so that it can be used and protected more efficiently. Data classification is performed for different purposes, one of the most common is for preserving data privacy. Data classification often includes a number of attributes, determining the type of data, confidentiality, and integrity. Neural networks help solve different problems. They are very good at data classification problems, they can classify any data with arbitrary precision.
Keywords: Artificial Neural Networks, Data Classification, Naïve Bayes, Discriminant Analysis, Nearest Neighbor
DOI: 10.20472/IAC.2019.047.030
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