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

Abstract

Abstract Ancient Chinese porcelain occupies an important position in Chinese cultural relics, and the development process of ceramics in various periods has played a great role in promoting the development of society. To explore the historical evolution path of Chinese ceramic technology, this paper proposes a data mining approach. The first step is to list the data mining tools, and then a distributed data crawler is deployed to crawl textual information related to Chinese ceramics in the Cultural Collection by defining keywords related to Chinese porcelain. Then, the incomplete data duplication, semantic ambiguity, and low-value and unclear pointing information that existed in the original text data were deleted. By setting thresholds and sorting, keywords with higher weights were filtered after scanning the cleaned texts. To compare data from different periods and subjects, the data was normalized. Correlation analysis was used to extract historical changes in Chinese ceramic technology in the time dimension, and then the components of ceramics in the historical evolution were analyzed by K-mean-based principal component analysis. Ceramic manufacturing technology mainly developed during the Five Dynasties and Two Songs, formed during the Yuan Dynasty, matured during the Ming Dynasty, flourished during the Qing Dynasty, and declined during the Republic of China. The first six principal components were extracted because their cumulative variance contribution exceeded 85%. In detail, the samples were divided into four categories according to each principal component, and the classification results reflect the differences in the content of pottery-making raw materials. Side by side, it reflects that pottery-making technology is changing with the advancement of history.