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昆明冶金高等专科学校学报 ›› 2020, Vol. 36 ›› Issue (3): 57-61.DOI: 10.3969/j.issn.1009-0479.2020.03.010

• 电子信息技术 • 上一篇    下一篇

基于逻辑回归算法的校园一卡通数据挖掘与应用

陈云川,宋 浩,赵 烨,刘发稳   

  1. 昆明冶金高等专科学校计算机信息学院,云南 昆明 650033
  • 收稿日期:2020-04-02 出版日期:2020-09-19 发布日期:2020-09-20
  • 作者简介:陈云川(1989-),男,云南玉溪人,助理工程师,工学硕士,主要从事数据挖掘与分析预测研究。
  • 基金资助:
    昆明冶金高等专科学校科研基金项目:基于校园一卡通的数据挖掘与应用(2018XJZK09)

Data Mining and Application of Campus card Based on Logistic Rregression Algorithm

CHEN Yunchuan, SONG Hao, ZHAO Ye, LIU Fawen   

  1. Faculty of Compute Information,Kunming Metallurgy College,Kunming 650033,China
  • Received:2020-04-02 Online:2020-09-19 Published:2020-09-20

摘要: 数据挖掘与分析预测是近几年信息技术发展的一个重要分支。尝试将数据挖掘技术应用于对学生一卡通分析,希望从中找出品学兼优但家境贫寒的学生,为学校助学金的发放提供一点帮助。首先介绍了数据挖掘的一般流程,随后重点描述了本文实验仿真用到的算法:逻辑回归算法。最后借助Rapidminer平台进行仿真,实验采用逻辑回归算法进行建模,并引入贝叶斯算法进行对比实验,将模型应用于测试数据集中,成功预测出了标签属性值(是否贫困生)。

关键词: 校园一卡通, 数据挖掘, 逻辑回归

Abstract: Data mining,analysis and prediction is an important branch of information technology development in recent years. This article alltempts to apply data mining technology to the analysis of dala of campus card, hoping to find students with excellent acaudemic performance but poor family backgrouund to provide a little help for the school financial aid.This article first introduces the general process of data nining,and then focuses on the algorithms used in the experimental simulation of this article: logistic regression algorithm.Finally , the Rapidminer platform was used for simulation. The experiment uses logistic regression algorithm for modeling, and introduces Bayesian algorithm for comparalive experiments. The model is applied to the test data set and successfully predicts the label altribute value ( whether the student is a poor student ).

Key words: campus card, data mining, logistic regression

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