摘要
现今高校学生信息体量较大,难以进行准确的信息分类管理,因此提出基于云计算的高校学生信息分类管理系统设计研究。设计系统体系结构,改进云计算技术中的决策树算法构造;以支持度与置信度最小化为目标,裁剪不准确、不频繁的决策规则;将学生信息输入至改进后的决策树中,获得学生信息分类结果,制定学生信息管理相关功能,实现高校学生信息的分类管理。测试数据显示:应用设计系统获得的学生信息分类错误率最小值为0.9%,学生信息管理规模最大值为148 GB,充分证实设计系统能够准确进行学生信息分类管理。
Nowadays,the volume of college students'information is large,and it is difficult to carry out accurate information classification management.Therefore,the design and research of college students'information classification management system based on cloud computing is proposed.It designs the system architecture and improves the decision tree algorithm construction in cloud computing technology,cuts inaccurate and infrequent decision rules with the goal of minimizing support and confidence,inputs student information into the improved decision tree to obtain the classification results of student information,develops the rele-vant functions of student information management,and realizes the classification management of university student information.The test data shows that the minimum error rate of student information classification obtained by the application design system is 0.9%,and the maximum size of student information management is 148 GB,which fully confirms that the design system can ac-curately manage student information classification.
作者
叶小波
YE Xiao-bo(Guangdong Polytechnic of Science and Technology,Zhuhai 519090 China)
出处
《自动化技术与应用》
2024年第10期186-189,194,共5页
Techniques of Automation and Applications
基金
广东科学技术职业学院教育教学改革与实践项目(JG202309)。
关键词
云计算
学生信息
决策树构造
分类
管理系统
系统设计
cloud computing
student information
decision tree construction
classification
management system
system design
