<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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&lt;0.02, while the number of active behaviors and self-expression showed a significant correlation, i.e., P&lt;0.04.</p>
</abstract>

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.

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

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The wide application of digital mining technology will certainly promote the development of music therapy. In this paper, we first analyze the development of...

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

Pubblicato online: 15 ott 2023

Pagine: -

Ricevuto: 08 nov 2022

Accettato: 25 apr 2023

DOI: https://doi.org/10.2478/amns.2023.2.00632

Parole chiave
CRISP-DM model, ARMA model, ARIMA model, Music therapy, Digital mining techniques

© 2023 Haichao Jiang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Pubblicato online: 15 ott 2023

Pagine: -

Ricevuto: 08 nov 2022

Accettato: 25 apr 2023

DOI: https://doi.org/10.2478/amns.2023.2.00632

Parole chiaveCRISP-DM model, ARMA model, ARIMA model, Music therapy, Digital mining techniques

© 2023 Haichao Jiang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
CRISP-DM model, ARMA model, ARIMA model, Music therapy, Digital mining techniques