Research on the application of data mining technology in music therapy in the age of information technology

• Published in: Applied mathematics and nonlinear sciences Vol. 9; no. 1
• Main Author: Jiang, Haichao
• Format: Journal Article
• Language: English
• Published: Beirut Sciendo 01.01.2024; De Gruyter Poland
• Subjects: 00A65; ARIMA model; ARMA model; CRISP-DM model; Digital mining techniques; Music therapy; Self expression
• DOI: 10.2478/amns.2023.2.00632
• ISSN: 2444-8656

The wide application of digital mining technology will certainly promote the development of music therapy. In this paper, we first analyze the development of music therapy and clarify the classification of orchestration. Secondly, for the time period model of mining data technology, the mathematical method of the ARMA model and the ARIMA model is investigated. Finally, the music therapy effect of guzheng performance training is predicted based on the ARIMA time series. In accordance with the playing sloped of guzheng clips from Gaojia opera, the relationship between the total number of subjects and the amount of music therapy sessions was examined, as well as the correlation among the number of active behaviors, self-expression, positive emotional expressions, and negative feelings of the subject children. The attentional concentration time showed a highly significant correlation with the number of times under music therapy, i.e., P<0.02, while the number of active behaviors and self-expression showed a significant correlation, i.e., P<0.04.