Vocational Behavior Estimation Algorithm of Vocational Students in the Context of Big Data With Data Visualization Models

This article investigates and analyzes the actual career situation of students “offline” and “online” with the help of network data resources or mobile APP. Based on the object-oriented data model, key technologies such as level of detail technology and multi-resolution texture model are used to solve the problem of 3D visualization, and the rendering speed of 3D scenes can be accelerated. The existing problems are convenient to give positive guidance to the professional behavior of students in higher vocational colleges, and provide a basis for the school's education and life management of students. The experiment results shown the efficiency has been promoted up to 7.35%. The comparison analysis has proven the effectiveness of the model.