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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
A study on the characteristics of historical evolution of vocal works based on data mining
Shuyu Chen
Shuyu Chen
College of Music, Linyi University
Linyi, China
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Chen, Shuyu
,
Qian Yu
Qian Yu
College of Music, Linyi University
Linyi, China
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Yu, Qian
and
Jie Song
Jie Song
Music Group, Linyi No.7 Middle School
Linyi, China
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Song, Jie
Nov 27, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Nov 27, 2024
Received:
Jul 15, 2024
Accepted:
Oct 14, 2024
DOI:
https://doi.org/10.2478/amns-2024-3567
Keywords
<kwd>Data mining</kwd>
,
<kwd>CiteSpace</kwd>
,
<kwd>Clustering</kwd>
,
<kwd>Historical evolution.</kwd>
© 2024 Shuyu Chen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
