教育数据库系统中的大数据预测分析

Miguel A. Quiroz-Martínez, Gabriele-Enmanuel Torres-Secaira, Santiago-Teodoro Castro-Arias, Maikel Leyva-Vázquez
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引用次数: 0

摘要

通过计算机算法,通过提高学生在知识评估中的表现,实现日常面对面或在线课堂知识的高效传递。关键成功因素是一个管理术语,指的是项目实现其使命所必需的要素,在大数据项目中对它们进行建模和分析是至关重要的。本文提出了一个关键框架,用于教育数据库中大数据预测分析的成功因素分析,定义了适当的架构和数据的可用性,这是主要因素。该文件最后对今后的工作提出了结论和建议。
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Big Data Predictive Analytics in Educational Database Systems
Through computer algorithms, daily face-to-face or online classes knowledge can be transmitted efficiently by improving student performance in knowledge assessments. The critical success factor is a management term for an element necessary for a project to achieve its mission, and it is essential to model and analyze them in big data projects. This document presents a critical framework for success factor analysis for Big Data Predictive Analytics in educational databases defining an appropriate architecture and the availability of data in that order are the main factor. The document concludes with the conclusion and recommendation of future work.
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