A Study on Global Culture Arts and Big Data Analysis

Abstract

Cultural arts, unlike other fields, connects the creative spirit of artists such as creation and performance to the public, and the public shares and expresses the impressions or feelings received after encountering cultural arts. Today, the smart convergence environment has entered an era of big data full of data records, with a lot of information created on SNS, Facebook Currently, large data in the global culture and the arts field is generated geometrically based on K-pop and existing technologies alone are reaching the limit to deal with such data. As the big data market spreads through social data, the privacy and trade secret issues of big data are emerging as the biggest problems. In the field of culture and arts, while protecting data privacy, it is necessary to protect the autonomy of the cultural market and intellectual property rights. In this paper, we solve the sensitive issue of privacy protection of social data when using big data in the global art field through data mining techniques and privacy for preserving user's viewpoints of view.