Patterns to Identify Dropout University Students with EducationalData Mining

This paper applies educational data mining algorithms to present an analysis of the most relevant characteristics of potential dropout students. The study used a dataset of 10,635 instances, acquired between 2014 and 2019 from 53 bachelor's degree programs at a private university in the state o...

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Bibliographic Details
Main Authors: Argelia Berenice Urbina-Nájera (Author), Arturo Téllez-Velázquez (Author), Raúl Cruz Barbosa (Author)
Format: Book
Published: Universidad Autónoma de Baja California, 2021-12-01T00:00:00Z.
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3rd Floor Main Library

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Call Number: A1234.567
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