Application of Big Data Analysis Technology in Classification Statistics of Ancient Tomb Murals

Inhalt:
This paper is committed to display the statistical analysis results of ancient fresco classification data briefly by big data analysis and data visualization technology, which combined Java, Spring framework, BootStrap development template and other Web development technologies. This paper realizes visualization and interactive function of the visual chart through the data visualization module of the Web page. At the same time, users can search and view the data analysis results by themselves, so as to introduce the knowledge of tomb murals and relevant important news. This project is proposed through the digital protection and all-round in-depth study of tomb murals. It uses big data analysis technology to sort out and summarize the attributes of ancient tomb murals, and classified statistics with the theme as the core, so as to reshape users' information cognition of ancient tomb murals. In this way, the relationship between data and information can be quickly obtained from multiple dimensions, the knowledge system of tomb murals can be established, and the indepth study of tomb murals can be further promoted.