Study on the Historical Evolutionary Path of Chinese Ceramic Technology Based on Data Mining

[1] Chen, K. (2022). Imperial models: technology and design in state-controlled porcelain manufacture in early modern China. History and Technology, 38(2-3), 222-238. Search in Google Scholar

[2] Xu, X., Pi, J., Xu, A., He, K., & Zheng, J. (2019). The Initial Application of Interactive Genetic Algorithm for Ceramic Modelling Design. In Frontier Computing: Theory, Technologies and Applications (FC 2018) 7 (pp. 1409-1419). Springer Singapore. Search in Google Scholar

[3] Zhang, L., & Liu, G. (2021). Mathematical modeling for ceramic shape 3D image based on deep learning algorithm. Advances in Mathematical Physics, 2021(1), 4343255. Search in Google Scholar

[4] Colomban, P., Simsek Franci, G., Gerken, M., Gironda, M., & Mesqui, V. (2023). Non-Invasive On-Site XRF and Raman Classification and Dating of Ancient Ceramics: Application to 18th and 19th Century Meissen Porcelain (Saxony) and Comparison with Chinese Porcelain. Ceramics, 6(4), 2178-2212. Search in Google Scholar

[5] Shu, C. X., & Coomans, T. (2020). Towards modern ceramics in China: Engineering sources and the Manufacture Céramique de Shanghai. Technology and Culture, 61(2), 437-479. Search in Google Scholar

[6] Colomban, P. (2020). Glass, Pottery and enamelled objects: Identification of their technology and origin. Conservation Science: Heritage Materials, 2nd Edition, P. Garside & E. Richardson Eds, RSC. Search in Google Scholar

[7] Norris, D., Braekmans, D., & Shortland, A. (2022). Technological connections in the development of 18th and 19th century Chinese painted enamels. Journal of Archaeological Science: Reports, 42, 103406. Search in Google Scholar

[8] Wei, T., Roche, C., Papadopoulou, M., & Jia, Y. (2020, November). An ontology of Chinese ceramic vases. In 12th International Conference on Knowledge Engineering and Ontology Development (pp. 53-63). SCITEPRESS-Science and Technology Publications. Search in Google Scholar

[9] Wu, X., & Chen, A. (2024). The Development of Ceramic Education in Jingdezhen from Digital Perspective. International Journal of New Developments in Education, 6(4). Search in Google Scholar

[10] Xiong, H., Chen, X., Feng, J., Zhang, F., Qiu, M., Zhang, Q., & Fan, Y. (2024). Bibliometric and Visual Analysis of Studies on Ceramic Membranes: A Review. Membranes, 14(7), 144. Search in Google Scholar

[11] Qi, J., Zhang, T., Tang, H., & Li, H. (2018). Rapid classification of archaeological ceramics via laser-induced breakdown spectroscopy coupled with random forest. Spectrochimica Acta Part B: Atomic Spectroscopy, 149, 288-293. Search in Google Scholar

[12] SOUTH, S. (2019). Evolution and Horizon as Revealed in Ceramic Analysis in Historical Archaeology. Historical Archaeology: A Guide to Substantive and Theoretical Contributions, 17. Search in Google Scholar

[13] Shelach-Lavi, G., & Tu, D. (2017). Food, pots and socio-economic transformation: The beginning and intensification of pottery production in North China. Archaeological Research in Asia, 12, 1-10. Search in Google Scholar

[14] Sun, J., Lu, H., Qiao, L., Li, X., Chen, K., & Cao, W. (2023). Identification of porcelain ewers in Tang, Song, and Yuan dynasties by digital shape characterization. Ceramics International, 49(9), 14246-14254. Search in Google Scholar

[15] Chenoweth, J. M., & Farahani, A. (2015). Color in historical ceramic typologies: A test case in statistical analysis of replicable measurements. Journal of Archaeological Science: Reports, 4, 310-319. Search in Google Scholar

[16] Gan, F. (2021). Development history of ancient Chinese glass technology (Vol. 3). World Scientific. Search in Google Scholar

[17] Wu, Y., & Tao, T. (2023). Analyzing the Development History of Chinese Ceramic Packaging Containers and Their Modern Design Innovation Based on Multivariate Statistics. Applied Mathematics and Nonlinear Sciences, 9(1). Search in Google Scholar

[18] Wang, W. (2024). Application of computer data model in the characteristics and evolution of ceramic decorative painting. J. Electrical Systems, 20(2), 1241-1253. Search in Google Scholar

[19] Caroline Clifford,Raphael Twerenbold,Friederike Hartel,Bernd Löwe & Sebastian Kohlmann. (2024). Somatic symptom disorder symptoms in individuals at risk for heart failure: A cluster analysis with cross-sectional data from a population-based cohort study. Journal of Psychosomatic Research111848-111848. Search in Google Scholar

[20] Zhaohui Min,Fei Chen,Jun Lu,Mingyue Li,Zhiyong Shi & Wei Huang. (2024). Correlation analysis of evaluation methods and indicators for low-temperature performance of epoxy asphalt. Construction and Building Materials137287-137287. Search in Google Scholar

[21] Zongqing Zhang,Zhirui Wang,Lixin Wang,Xiaopeng Zhang,Yang Liu,Qingli Zhang... & Domenico Cicchella. (2024). Data mining for geochemical signatures of volcanic-type uranium mineralization, Duolun-Guyuan prospect, North China. Journal of Geochemical Exploration107540-107540. Search in Google Scholar