Research And Application Of Data Mining Technology In Analyzing Students’ Moral Behavior Of The Secondary Vocational School

"Twelfth Five-Year Plan for National Education" clearly accelerated the development of information technology in education, national education development of information technology into the fast lane. Accompanied by the transformation and upgrading of structural adjustment of national economic development, the quality of talent cultivation of universities, vocational colleges put forward further requirements.However, due to the increasingly diversified sources of secondary vocational school students, students’ knowledge structure and quality level is uneven, and the students’ daily management has become increasingly complex, How to guarantee the effective management of students, and make the original management mode gradually turned to the service-oriented management mode for training comprehensive and complex talents, is urgent problems to be solved for each school.This article in view of the current educational situation, try to use mining technique to analyze a large amount of data from educational administration management system, psychological evaluation system, and moral integration in order to identify useful knowledge hidden in these data, provide a theoretical basis for implementation of the school’s student management, it will make in-depth research on data mining technology, the theory, research status and development at home and abroad using literature research methods,then try to improve the K-means clustering algorithm, ID3algorithm and Apriori algorithm related to the topic,and through experiments, the proven efficiency of the improved algorithm has been improved to a certain extent, Meanwhile, it verifies that the system of analysising the students’moral behavior,which based on K-means clustering algorithm, ID3algorithm, Apriori algorithm has some practical value in applications.