Digital Evolution of Music Education: Exploring the Inheritance of Music Culture through Data Mining Technology in the Information Environment

Abstract

The rapid development of digital information technology has had a great impact on the music industry, and the playing and downloading of music has become the main business of many Internet operators. The vigorous development of higher vocational education and the unique talent training mode determine that the course teaching will continue to deepen the reform. Vocational college students are the main force of social and economic development and the main element of social harmony and stability. Music education has always been one of the important contents of college students' quality education, an important part of college cultural construction and an important way to inherit excellent culture. Cultural inheritance and excavation is an important function of colleges and universities. It has the responsibility and obligation to make use of these unique folk music cultural resources, enrich the content of music education in local colleges and universities, and incorporate the excavation, research and inheritance of local folk music culture into the main channel of music education in colleges and universities. Based on musicology theory and data mining(DM) technology, this chapter proposes a style classification method based on music files. The recommendation algorithm based on sorting learning is experimented. At the same time, the experimental results are evaluated and compared with three algorithms, namely, user based collaborative filtering algorithm, product based collaborative filtering algorithm and unweighted sorting learning method.