Research on Application of University Student Behavior Model Based on Big Data Technology

Based on the collection and sorting of data on the study and life of college students, a student behavior model is constructed. The model covers several dimensions of data such as clothing, food, housing, transportation, and extracurricular entertainment during school. Heterogeneous and multidimensional data containing student behavior information is cleaned, integrated, mined and applied, and potentially, valuable, and potentially application-valued information is extracted from it for the school's teaching, research, logistics, catering, security, and enrollment provide scientific data support for various tasks, so as to serve the education, service and management of college students. In the process of building a big data analysis platform, firstly, effectively integrate the basic data of higher vocational colleges and build various standard databases, including the integration of basic data such as college information management system data, all-in-one card consumption data, and library borrowing data. Broken the information separation between the various functional departments in the school, establish a standardized data sharing and coordination mechanism, and optimize the transfer and sharing of resources between departments.