湖北农业科学 ›› 2020, Vol. 59 ›› Issue (10): 150-153.doi: 10.14088/j.cnki.issn0439-8114.2020.10.035

• 信息工程 • 上一篇    下一篇

基于决策树关联算法在农村大学生信息系统中的应用

付荣华   

  1. 乌鲁木齐职业大学,乌鲁木齐 830002
  • 收稿日期:2019-10-21 出版日期:2020-05-25 发布日期:2020-08-03
  • 作者简介:付荣华(1980-),女,江西新余人,讲师,在读硕士研究生,研究方向为教育信息化,(电话)13248668864(电子信箱)kwejnjw11470@126.com。

Application of decision tree association algorithms in rural college students information system

FU Rong-hua   

  1. Urumqi Vocational University,Urumqi 830002,China
  • Received:2019-10-21 Online:2020-05-25 Published:2020-08-03

摘要: 通过数据挖掘技术分析各个领域大量数据之间的关系,可以发现这些记录中隐藏的学生学习和生活状态。该研究开发了一个综合分析系统,其系统引入了数据挖掘技术,包括决策树算法和关联规则挖掘算法。通过分析来自农村的大学生图书馆记录和消费记录以及农村学生完成的课程成绩和心理测试数据可以看出,该系统可以挖掘农村学生的生活和学习状态及其关联性,并将结果展示出来,可以让学校或老师及时清晰地了解其状态,有助于更好的教学。

关键词: 数据挖掘, 决策树算法, 关联规则挖掘算法, 数据库应用

Abstract: By using data mining technology to analyze the relationship between these data, The hidden students' learning and living conditions in these records were founded. A comprehensive analysis system was developed, which introduces data mining technology, including decision tree algorithm and association rule mining algorithm. By analyzing the records of college students' libraries and consumption from the countryside, as well as the data of curriculum achievements and psychological tests completed by rural students, the system can excavate the life and learning status of rural students and their correlation, and display the results, so that schools or teachers can understand their status in time and clearly, which is help fulfor better teaching.

Key words: data mining, decision tree algorithm, association rule mining algorithm, database application

中图分类号: