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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Using Data Mining Techniques to Explore the Compositional Characteristics of Mozart’s Piano Concertos
Dan Wang
Dan Wang
College of Music and Dance, Hebei Minzu Normal University
Chengde, China
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Wang, Dan
,
Chen Ji
Chen Ji
College of Music and Dance, Hebei Minzu Normal University
Chengde, China
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Ji, Chen
and
Hongzhen Cao
Hongzhen Cao
No. 1 Middle School, Longhua County, Hebei Province, Longhua County
Chengde, China
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Cao, Hongzhen
Nov 11, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Nov 11, 2024
Received:
Jun 03, 2024
Accepted:
Sep 29, 2024
DOI:
https://doi.org/10.2478/amns-2024-3158
Keywords
<kwd>Data Mining</kwd>
,
<kwd>Multimodal Fusion</kwd>
,
<kwd>Fourier Transform</kwd>
,
<kwd>Support Vector Machine</kwd>
,
<kwd>Music Emotion Classification</kwd>
© 2024 Dan Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
