教育数据挖掘:综合研究

R. Raju, N. Kalaiselvi, Aathiqa Sulthana M, D. I., Selvarani A
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引用次数: 2

摘要

如今,世界上的每个角落都在产生大量的数据,教育部门也不例外。由于对教育的追求呈增长趋势,因此产生的数据需要进行分析。结合机器学习技术的数据挖掘对学生数据分析的研究正在迅速增加。数据分析可以应用于教育数据,以提取有用的信息,并建立不同变量之间的重要关系。教育数据分析是对学生的数据进行分析,以预测学生在考试中的行为或表现。本研究是基于教育数据分析的各种机器学习算法。主要目标是分析各种机器学习方法在用于预测目的的教育数据上的实现。
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Educational Data Mining: A Comprehensive Study
Nowadays a huge amount of data is being generated in nook and corner of the world and the educational sector is no such exception. Since the pursuance of education is on growing trend, the data being generated demands to be analyzed. The research on student data analysis involving data mining infused with machine learning technique is rapidly increasing. Data Analysis can be applied to educational data to draw out useful information and to establish important relations among different variables. Educational Data Analysis is used to analyze the student data to predict the student behavior or performance in examination beforehand. This study is based on various machine learning algorithms for educational data Analysis. The main target is to analyze the implementation of various machine learning approaches on educational data used for the purpose of prediction.
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