Usage of artificial neural networks in data classification

Elda Xhumari () and Julian Fejzaj ()
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Elda Xhumari: University of Tirana, Faculty of Natural Sciences, Department of Informatics
Julian Fejzaj: University of Tirana, Faculty of Natural Sciences, Department of Informatics

No 9211565, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

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 (search for similar items in EconPapers)
JEL-codes: C45 (search for similar items in EconPapers)
Pages: 6 pages
Date: 2019-07
New Economics Papers: this item is included in nep-big, nep-cmp and nep-ore
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Published in Proceedings of the Proceedings of the 47th International Academic Conference, Prague, Jul 2019, pages 112-117

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