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Usage of artificial neural networks in data classification

Author

Listed:
  • Elda Xhumari

    (University of Tirana, Faculty of Natural Sciences, Department of Informatics)

  • Julian Fejzaj

    (University of Tirana, Faculty of Natural Sciences, Department of Informatics)

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.

Suggested Citation

  • Elda Xhumari & Julian Fejzaj, 2019. "Usage of artificial neural networks in data classification," Proceedings of International Academic Conferences 9211565, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:9211565
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    File URL: https://iises.net/proceedings/iises-international-academic-conference-prague/table-of-content/detail?cid=92&iid=030&rid=11565
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    More about this item

    Keywords

    Artificial Neural Networks; Data Classification; Naïve Bayes; Discriminant Analysis; Nearest Neighbor;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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