The Empirical Analysis of College Students’ Behavior Based on SSAS

With big data technology, the potential and valuable rules can be mined from the behavioural data of college students to provide scientific decision-making for teaching and management, which is conducive to comprehensively improving management and education service level of college students. Based on the data collection, processing and mining algorithm of SSAS (SQL Server Analysis Services), this paper conducts intelligent analysis and research on college students’ behaviours. The massive data of students’ learning, consumption, socializing, surfing and borrowing, and wireless network access data accumulated are from the Smart campus of Jianghan University. To realize the analysis, prediction and early warning management of student behaviour, to provide scientific support for the precision of management.