Application of data Mining Algorithm based on Big data in Simulation Scenarios in College Students Ability Exercise

The role of simulation scenarios in college students’ ability exercise is very important, but there is a problem of insufficient immersion. Traditional classroom teaching methods cannot solve the problem of simulated scenarios in college students’ ability exercise, and the application is not ideal. Therefore, this paper proposes a data mining algorithm based on big data to analyze the application of data mining in simulated scenarios. Firstly, the situational cognition and learning theory is used to evaluate the ability of college students, and the indicators are divided according to the requirements of the simulation scenario and reduced Simulate interference factors in the scene. Then, the scenario cognition and learning theory is applied to the simulation scenarios in the ability exercise of college students, forming a simulation scenario application scheme, and the simulation scenario Applications for comprehensive analysis. MATLAB simulation shows that under certain evaluation criteria, the data mining algorithm based on big data simulates the ability exercise of college students The accuracy and calculation time of simulated scenarios are better than traditional classroom teaching methods.