Intelligent and Distributed Data Warehouse for Student’s Academic Performance Analysis
Pre-Publicación
2019-06-26
International Symposium on Neural Networks
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.
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Intelligent and Distributed Data Warehouse for Student’s Academic Performance Analysis.pdf
Título: Intelligent and Distributed Data Warehouse for Student’s Academic Performance Analysis.pdf
Tamaño: 324.4Kb
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Título: Intelligent and Distributed Data Warehouse for Student’s Academic Performance Analysis.pdf
Tamaño: 324.4Kb
PDFLEER EN FLIP
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