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Intelligent and Distributed Data Warehouse for Student’s Academic Performance Analysis

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  • معلومة اضافية
    • بيانات النشر:
      International Symposium on Neural Networks
    • الموضوع:
      2019
    • Collection:
      REDICUC - Repositorio Universidad de La Costa
    • نبذة مختصرة :
      In the academic world, a large amount of data is handled each day, ranging from student’s assessments to their socio-economic data. In order to analyze this historical information, an interesting alternative is to implement a Data Warehouse. However, Data Warehouses are not able to perform predictive analysis by themselves, so machine intelligence techniques can be used for sorting, grouping, and predicting based on historical information to improve the analysis quality. This work describes a Data Warehouse architecture to carry out an academic performance analysis of students.
    • File Description:
      application/pdf
    • ISBN:
      978-3-030-22807-1
      978-3-030-22808-8
      3-030-22807-X
      3-030-22808-8
    • Relation:
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J. Grid Distrib. Comput. 10(9), 13–32 (2017) Google Scholar; http://hdl.handle.net/11323/5132; Corporación Universidad de la Costa; REDICUC - Repositorio CUC; https://repositorio.cuc.edu.co/
    • الدخول الالكتروني :
      http://hdl.handle.net/11323/5132
      https://repositorio.cuc.edu.co/
    • Rights:
      CC0 1.0 Universal ; http://creativecommons.org/publicdomain/zero/1.0/ ; info:eu-repo/semantics/openAccess ; http://purl.org/coar/access_right/c_abf2
    • الرقم المعرف:
      edsbas.E0385AFF