现代电子技术2017，Vol.40Issue(14)：30-32,3.DOI:10.16652/j.issn.1004-373x.2017.14.008
基于大数据分析的学生最优选课方案模型的设计与实现
Design and implementation of student's most preferred course project model based on big data analysis
摘要
Abstract
In order to improve the optimal allocation performance in students'course selection and utilization efficiency of curriculum resources,a design method of a course selection model based on large data analysis is proposed.The overall structure model of student optimal course selection model is constructed firstly.A large data analysis method is used to conduct information fusion and optimal access design of student course resource database to get comprehensive decision model of student course selection by combining adaptive equilibrium with grey correlation analysis.The program development is performed in Linux kernel.The cross compile environment for student elective system is established based on X86 architecture.A script menu is collocated in the virtual file system.HTTP server and telnet server functions are integrated in the network module to realize data sharing and remote transmission of the curriculum information.The system software development and debugging analysis results show that the course selection scheme model has good data analysis ability and strong reliability,and can realize the optimization configuration and selection of courses.关键词
大数据分析/选课/模型设计/信息融合Key words
big data analysis/course selection/model design/information fusion分类
信息技术与安全科学引用本文复制引用
史金梅,夏伟..基于大数据分析的学生最优选课方案模型的设计与实现[J].现代电子技术,2017,40(14):30-32,3.基金项目
国家自然科学基金(50875245) （50875245）
