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Predict the selection of mathematics subject for 11th grade students using Data Mining technique

机译:使用数据挖掘技术预测11 年级学生的数学学科选择

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In recent years, education has developed in Oman, especially in the last's stages of education, as the student in the tenth grade must choose the mathematics subject that suits his/her abilities to move to the eleventh grade. The main objective of this project is to predicate the selection of mathematics subject for 11th grade students using Data Mining technique. Before the creation of the model in this project, the data must be preprocessed after extraction from the educational portal such as cleaning and reduce errors and noise. This research uses the data of 2000 students as a case study to be studied in this project. The data extracted from one of the educational sector of Oman. Different education data mining (EDM) were applied, using classification methods. The algorithm used on this project to predicate student selection was J48, sample logistic and Naïve Bayes. The results of this project show that many students must choose applied mathematics because of their level in mathematics subject.
机译:近年来,阿曼的教育得到了发展,尤其是在最后的教育阶段,因为十年级的学生必须选择适合自己升入十一年级能力的数学学科。该项目的主要目的是确定使用数据挖掘技术为11年级学生选择的数学学科。在此项目中创建模型之前,必须从教育门户网站提取数据后对其进行预处理,例如清理并减少错误和噪音。本研究以2000名学生的数据为案例研究。该数据摘自阿曼教育部门之一。使用分类方法,应用了不同的教育数据挖掘(EDM)。该项目用来确定学生选择的算法是J48,样本逻辑和朴素贝叶斯。该项目的结果表明,由于数学学科的水平,许多学生必须选择应用数学。

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