基于关联规则挖掘算法的高校学生智慧化管理系统设计
Design of Intelligent Management System for College Students Based on Association Rule Mining Algorithm
姜多华1
作者信息
- 1. 豫章师范学院,江西南昌 330103;南昌应用技术师范学院,江西南昌 330108
- 折叠
摘要
由于我国高校招生规模不断扩大,传统的学生管理方式已经难以满足现代化教育的需求,文章基于关联规则挖掘算法的高校学生智慧化管理系统.该文章设计了一个包括前端界面、应用服务层、数据逻辑层和数据存储层的高校学生管理系统的B/S架构.基于关联规则挖掘算法实现智慧化教学管理;采用加权模糊推理算法进行学生心理健康服务.测试结果表明,在高并发用户条件下设计系统的事务处理能力与服务器资源使用情况等性能指标表现良好,满足用户实际使用需求,对于提高学生管理效率、保障高校教学质量具有重要意义.
Abstract
Due to the continuous expansion of college enrollment scale in China,the traditional student management mode has been difficult to meet the needs of modern education,and design the college student management system of related rules mining algorithm.This paper designed a B/S architecture of college student management systemincluding the front-end interface,appli-cation service layer,data logic layer and data storage layer.Intelligent teaching management based on association rule mining algorithm;weighted fuzzy reasoning algorithms to serve students'mental health.The test results show that the performance indicators such as transaction process-ing capacity and server resource usage of the design system under high concurrent users can meet the actual needs of users.The article is of great significance to improve the efficiency of student management and guaranteeing the university teaching quality.
关键词
关联规则挖掘算法/高校学生管理/智慧化管理系统/系统设计/教学管理Key words
association rule mining algorithm/university student management/intelligent man-agement system/system design and teaching management引用本文复制引用
出版年
2024
NETL
NSTL
万方数据