Informatization of the Traditional Literature of Donglu Drums and Its Supporting Role for Inheritance

[1] Thrasher, A. R. (2023). Traditional instruments and heterophonic practice. The Oxford Handbook of Music in China and the Chinese Diaspora, 179-198. Search in Google Scholar

[2] Ye, T. (2020). Historical dictionary of Chinese theater. Rowman & Littlefield. Search in Google Scholar

[3] Ning, L. (2020). THE MUSICAL COMPOnEnT In THE MODERn CHInESE FOLk OPERA On THE EXAMPLE OF “THE YIMEnSHAn MOUnTAInS” OPERA. ПРОСТРАНСТВО КУЛЬТУРЫ THE SPACE OF CULTURE, 47. Search in Google Scholar

[4] Chen, X. (2020). The conception of the contemporary Chinese opera music score database. Journal of Contemporary Educational Research, 4(1). Search in Google Scholar

[5] Cui, Z., & Chen, C. (2023). Art and history go hand in hand: The evolution of Chinese national vocal music from the Yan’an period to reform and opening up. Herança, 6(1), 39-50. Search in Google Scholar

[6] Kim, D., Seo, D., Cho, S., & Kang, P. (2019). Multi-co-training for document classification using various document representations: TF–IDF, LDA, and Doc2Vec. Information sciences, 477, 15-29. Search in Google Scholar

[7] Zhai, C., & Lafferty, J. (2017, August). A study of smoothing methods for language models applied to ad hoc information retrieval. In ACM Sigir Forum (Vol. 51, No. 2, pp. 268-276). New York, NY, USA: ACM. Search in Google Scholar

[8] Cutting, D. R., Karger, D. R., Pedersen, J. O., & Tukey, J. W. (2017, August). Scatter/gather: A cluster-based approach to browsing large document collections. In ACM SIGIR Forum (Vol. 51, No. 2, pp. 148-159). New York, NY, USA: ACM. Search in Google Scholar

[9] Abualigah, L. M., Khader, A. T., & Hanandeh, E. S. (2018). A new feature selection method to improve the document clustering using particle swarm optimization algorithm. Journal of Computational Science, 25, 456-466. Search in Google Scholar

[10] Xu, Y., Li, M., Cui, L., Huang, S., Wei, F., & Zhou, M. (2020, August). Layoutlm: Pre-training of text and layout for document image understanding. In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining (pp. 1192-1200). Search in Google Scholar

[11] Furnas, G. W., Deerwester, S., Durnais, S. T., Landauer, T. K., Harshman, R. A., Streeter, L. A., & Lochbaum, K. E. (2017, August). Information retrieval using a singular value decomposition model of latent semantic structure. In ACM SIGIR Forum (Vol. 51, No. 2, pp. 90-105). New York, NY, USA: ACM. Search in Google Scholar

[12] Berger, A., & Lafferty, J. (2017, August). Information retrieval as statistical translation. In ACM SIGIR Forum (Vol. 51, No. 2, pp. 219-226). New York, NY, USA: ACM. Search in Google Scholar

[13] Kowsari, K., Brown, D. E., Heidarysafa, M., Meimandi, K. J., Gerber, M. S., & Barnes, L. E. (2017, December). Hdltex: Hierarchical deep learning for text classification. In 2017 16th IEEE international conference on machine learning and applications (ICMLA) (pp. 364-371). IEEE. Search in Google Scholar

[14] Xin Rui Tao,Quan Ke Pan,Hong Yan Sang & Miao Rong. (2024). A multiobjective optimizer with a K-means cluster algorithm for a distributed flexible flowshop rescheduling problem. Applied Soft Computing112124-112124. Search in Google Scholar

[15] Yang Li & Haiyu Zhang. (2024). Big data technology for teaching quality monitoring and improvement in higher education - joint K-means clustering algorithm and Apriori algorithm. Systems and Soft Computing200125-200125. Search in Google Scholar

[16] Jinghan Wang,Guangyue Li & Tinghua Ai. (2024). Revealing association rules within intricate ecosystems: A spatial co-location mining method based on Geo-Eco knowledge graph. International Journal of Applied Earth Observation and Geoinformation104116-104116. Search in Google Scholar