Automated Personalized Big Data Model to Promote Traditional Culture with Aesthetic Education

Big data can make significant contributions to the field of aesthetic education in universities. By analyzing large amounts data, researchers gain insights into student engagement with artistic content and better understand how students learn appreciate arts. Aesthetic is a study that focuses on cultivation sensibility appreciation, as well development skills various forms expression. universities it helps develop students’ emotional intelligence empathy. Hence, this paper constructed automated framework model based big for The termed Mamdani Fuzzy Set Optimization (MFsO) personalized model. information associated processed MFsO uses fuzzy set rules comments promotion tradition among students. Flemingo computation effective features generation rules. deep learning architecture transmission comparative analysis stated proposed performance compared conventional techniques system design.