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Aspects of Using Data Mining Techniques in the Study of Student Performance

Author

Listed:
  • Oprea Cristina

    (Petroleum&Gas University, Ploiesti)

  • Zaharia Marian

    (Petroleum&Gas University, Ploiesti)

  • Enachescu Daniela

    (Petroleum&Gas University, Ploiesti)

Abstract

In our world the large amount of existing data and the need to convert and analyze this large amount of useful data has led to the concept of data mining. Using data mining techniques is driven by the urgent need, common to many fields, to store, access, describe, model, and especially to understand and effectively use of the large amounts of data. Lately the use of data mining in the field of academic analysis has proved particularly useful. This paper presents the concept and architecture of data mining systems, and also, is presented some of its applications in the field of university to study students' behavior.

Suggested Citation

  • Oprea Cristina & Zaharia Marian & Enachescu Daniela, 2010. "Aspects of Using Data Mining Techniques in the Study of Student Performance," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 746-750, May.
    • Handle: RePEc:ovi:oviste:v:10:y:2010:i:1:p:746-750
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    More about this item

    Keywords

    data mining techniques; effectively use; data; student performance;
    All these keywords.

    JEL classification:

    • A29 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Other

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