关键词: 大数据, 高校学生, 行为分析, 可视化

Abstract: In the era of big data, it is an inevitable trend to establish a student management analysis system based on the application of big data technology, and it is also an important way to improve the efficiency of student work management. In this paper, starting from the reality of student management, the information of students' grades, attendance, comprehensive quality and book borrowing is collected, extracted, cleaned and converted by ETL tools, and loaded into oracle database for storage and management. Data analysis and mining are carried out by various algorithms such as rule bases, and the results are presented in graphical and graphical form by visual tools (Echarts,etc), thus realizing the construction of intelligent analysis platform for student management of big data application. Practice has proved that by designing and developing the university student behavior analysis and visualization system based on big data, we can accurately diagnose the learning situation, make personalized analysis on learning, make intelligent analysis on decision-making, and give advance warning to violations and disciplines, which greatly improves the management level and education quality of students, and truly realizes teaching students in accordance with their aptitude.

Key words: Big data, University students, Behavioural analysis, Visualization