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METHOD AND SYSTEM FOR PREDICTING ACADEMIC ACHIEVEMENTS OF STUDENTS BASED ON NAIVE BAYESIAN MODEL

机译:基于朴素贝叶斯模型的学生学业成绩预测方法和系统

摘要

The present invention discloses a method and a system for predicting academic achievements of students based on a naive Bayesian model. The method includes: obtaining learning data of students, and transmitting the obtained data to a database of a first server; performing data conversion on the learning data of the students stored in the database to obtain a normalized student learning status data table; for the normalized student learning status data table, calculating conditional probabilities of attributes in different categories and prior probabilities of the different categories through a calculating unit in the server; and performing data conversion on to-be-predicted student data, and inputting the to-be-predicted student data in the trained naive Bayesian model to perform classification prediction of the student data. The present invention adopts the naive Bayesian model that is applied to the accurate prediction of the academic achievements of the students with high reliability. FIG. 1
机译:本发明公开了一种基于朴素贝叶斯模型的学生学习成绩预测方法和系统。该方法包括:获得学生的学习数据,并将获得的数据发送到第一服务器的数据库;以及对存储在数据库中的学生的学习数据进行数据转换,以获得归一化的学生学习状态数据表;对于归一化的学生学习状态数据表,通过服务器中的计算单元计算不同类别的属性的条件概率和不同类别的先验概率;对待预测的学生数据进行数据转换,并将待预测的学生数据输入经过训练的朴素贝叶斯模型中,对学生数据进行分类预测。本发明采用朴素贝叶斯模型,该模型用于高可靠地准确预测学生的学习成绩。图。 1个

著录项

  • 公开/公告号LU100314B1

    专利类型

  • 公开/公告日2017-10-31

    原文格式PDF

  • 申请/专利权人 SHANDONG NORMAL UNIVERSITY;

    申请/专利号LU20170100314

  • 发明设计人 XUE RUOJUAN;

    申请日2017-06-20

  • 分类号G06Q50/20;G06F17/18;G06N7;

  • 国家 LU

  • 入库时间 2022-08-21 13:37:53

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