摘要
针对现有管理系统无法有效采集高校学生信息而导致系统的性能测试结果不理想等问题,提出了一种基于大数据的高校学生信息化管理系统。通过平均互信息特征提取方法进行学生信息功率频谱密度估计和融合,采用k-均值聚类算法采集高校学生信息,整理和分析采集到的高校学生信息,依据各个高校的实际情况和调研部门的需求,结合浏览器/服务器(Browser/Server,B/S)技术,开发和设计了高校学生信息化管理系统。
Aiming at the problems such as the current existing system can not effectively collect college students'information,resulting in unsatisfactory system performance test results,a information management system for college students based on big data is proposed.This paper estimates and fuses the power spectrum density of student information by using the average mutual information feature extraction method,collect college student information according to k-means clustering algorithm,sorts out and analyzes the collected college student information,and develops and designs the information management system for college students,based on the actual situation of each college and the needs of the research departments,combined with Browser/Server(B/S)technology.
作者
常见
许颖
CHANG Jian;XU Ying(Henan Forestry Vocational College,Luoyang 471002,China)
出处
《科技创新与生产力》
2023年第8期107-109,共3页
Sci-tech Innovation and Productivity
关键词
大数据
高校学生
信息化管理系统
信息采集
big data
college student
information management system
information collection and acquisition