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Academic Evasion

Employment of Data Mining in the discovery of Driving Factors

Parametry

  • 56 stránek
  • 2 hodiny čtení

Více o knize

Focusing on the critical issue of student dropout in education, this work explores its multifaceted impacts, including social and economic losses. It emphasizes the necessity of developing effective predictive methods to identify students at risk of leaving higher education. By utilizing a knowledge discovery approach and analyzing a database, the study aims to uncover patterns and group students, enabling institutions to implement proactive measures to reduce dropout rates.

Nákup knihy

Academic Evasion, Bruno Torres Marques, Leonardo Torres Marques

Jazyk
Rok vydání
2023
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Titul
Academic Evasion
Podtitul
Employment of Data Mining in the discovery of Driving Factors
Jazyk
anglicky
Rok vydání
2023
Vazba
měkká
Počet stran
56
ISBN13
9786206024811
Série
Anotace
Focusing on the critical issue of student dropout in education, this work explores its multifaceted impacts, including social and economic losses. It emphasizes the necessity of developing effective predictive methods to identify students at risk of leaving higher education. By utilizing a knowledge discovery approach and analyzing a database, the study aims to uncover patterns and group students, enabling institutions to implement proactive measures to reduce dropout rates.