Acknowledgement
This paper is a revised and expanded version of the paper "A Case Study on Data Mining for Korean Painting Poetry," which was presented at CSA 2022. A study in the same vein of painting poetry data analysis is "A study of Mukjukdo painting poetry using N-gram analysis: focusing on the early Joseon Dynasty's works (The Studies of Korean Literature, no. 79, pp. 57-82, 2023)." The data calculation function setting using the Java program was performed with the valuable assistance of Seokjune Kang, an expert in computer science software. We extend our sincere gratitude for his practical help with computer information processing.
References
- Y. H. An, C. H. Cha, and D. K. Kim, "The present condition and task on database of Hangeul materials of classical novel," The Research of Old Korean Novel, vol. 42, pp. 47-81, 2016. https://doi.org/10.23836/kornov.2016.42.47
- K. Kwon, W. Choi, and D. Kim, "A lengthwise comparative study of different versions of Yadam: based on 'Ok So-seon'," The Research of the Korean Classic, no. 57, pp. 87-120, 2022.
- B. C. Lee, "A study of Korean Chinese poetry similarity analysis," Journal of Korean Literature in Chinese, vol. 59, pp. 361-383, 2021.
- B. C. Lee, "A study on the construction and utilization of Korean Chinese poetry corpus," Journal of Korean Literature in Chinese, vol. 53, pp. 153-177, 2019. http://doi.org/10.17260/jklc.2019.53..153
- H. Park, "A study on the painting poetry of the latter part of the Goryeo Dynasty," Master's thesis, Kyung Hee University, Seoul, Korea, 2015.
- Wikipedia, "Data mining," c2023 [Online]. Available: ko.wikipedia.org/wiki/Data Mining.
- A. G. Finogeev, D. S. Parygin, and A. A. Finogeev, "The convergence computing model for big sensor data mining and knowledge discovery," Human-centric Computing and Information Sciences, vol. 7, article no. 11, 2017. https://doi.org/10.1186/s13673-017-0092-7
- K. Paul and C. M. Parra, "Corporate social responsibility in international business literature: results from text data mining of the Journal of International Business Studies," International Journal of Corporate Social Responsibility, vol. 6, article no. 12, 2021. https://doi.org/10.1186/s40991-021-00066-6
- P. Vilakone, K. Xinchang, and D. S. Park, "Personalized movie recommendation system combining data mining with the k-clique method," Journal of Information Processing Systems, vol. 15, no. 5, pp. 1141-1155, 2019. https://doi.org/10.3745/JIPS.04.0138
- V. E. Sathishkumar, M. Lee, J. Lim, Y. Kim, C. Shin, J. Park, and Y. Cho, "An energy consumption prediction model for smart factory using data mining algorithms," KIPS Transactions on Software and Data Engineering, vol. 9, no. 5, pp. 153-160, 2020. https://doi.org/10.3745/KTSDE.2020.9.5.153
- H. Park, "A study on the painting poetry of the former part of the Joseon Dynasty," Ph.D. dissertation, Kyung Hee University, Seoul, Korea, 2021.
- H. Park, "A study of Mukjukdo painting poetry using N-gram analysis: focusing on the early Joseon Dynasty's works," The Studies of Korean Literature, no. 79, pp. 57-82, 2023. http://dx.doi.org/10.20864/skl.2023.7.79.57
- H. Park, "A study on the symbolic meaning of painting poetry about plum blossom paintings in the early Joseon Dynasty," The Study of the Eastern Classic, no. 89, pp. 9-41, 2022. http://dx.doi.org/10.23904/SEC.2022.89.01.009