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Using Data Analysis Techniques To Classify Counties From Romania In Terms Of Education, According To Indexes From Economic And Social Fields

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Listed:
  • Alexandra-Andreea Mironescu

    (Bucharest University of Economic Studies)

  • Grigorescu Ioana Gabriela

    (Romanian-American University)

  • Iordache Ana Maria Mihaela

    (Romanian-American University)

Abstract

The level of development of a community is closely related to the level of development of the existing education system in that region. In this article we performed an analysis of the education system in Romania from economic and social points of view. We chose indicators that show movement, birth rate, integration into a form of education and population gains, but also the degree of use of modern computing techniques in the education process. The classification of the counties was performed with the help of a neural network trained in the SAS and several scenarios were developed with immediate applicability

Suggested Citation

  • Alexandra-Andreea Mironescu & Grigorescu Ioana Gabriela & Iordache Ana Maria Mihaela, 2023. "Using Data Analysis Techniques To Classify Counties From Romania In Terms Of Education, According To Indexes From Economic And Social Fields," Romanian Economic Business Review, Romanian-American University, vol. 18(1), pages 15-33, March.
    • Handle: RePEc:rau:journl:v:18:y:2023:i:1:p:15-33
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    References listed on IDEAS

    as
    1. Fionn Murtagh & Pierre Legendre, 2014. "Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 274-295, October.
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