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Big data, as a derivative of Internet technology, is now changing the way people living and knowing things. Using data mining technology to analyze the data of college students' learning and living behavior can get conclusions with rich guiding significance and educational connotation. This paper expounds the connotation and significance of student behavior analysis under the background of big data from three aspects of precise subsidy, academic assistance and mental health supervision, and discusses the strategies of student behavior analysis and student data mining. At last, taking Beihang Shoue College as an example, this paper studies the correlation between students' behavior and academic level, which is helpful to improve the framework of talent training system and promote the development of students' personalized talents.

Student behavior data is a reflection of students' learning styles and habits in campus. Quantitative evaluation of various behavior indicators of students' college learning life can reflect students' learning status and laws, and the academic performance is the most important and basic index to evaluate a student's learning situation. Based on the data of students' behavior under the "Four PIN" education system of Beihang Shoue College, this paper adopts XGBoost gradient upgrade decision tree algorithm to fully mine and analyze the situation of college students' study life and participation in social work, and to study the potential behavior patterns with strong correlation between students' behavior data and students' performance. The performance prediction model is established through data mining technology and the prediction accuracy is 73%. The study finds that "Pinjian" program records the growth of students. Students' overall evaluation and student performance shows a positive correlation. "Pinxue" program promotes academic development. Academic guidance in college plays an important role in improving students' academic performance. "Pinzhi" program enhances comprehensive literacy. Cultural and artistic activities and serving as student cadre show a positive correlation with academic performance.