MindMap Gallery Big data analysis methods in archaeology
The mind map focuses on "Big Data Analysis Methods in Archaeology". From the central theme, several main branches emerge: data collection and integration, data mining techniques, machine learning algorithms, visualization, and case studies. The data collection and integration section emphasizes the importance of obtaining archaeological data from various sources; data mining techniques involve extracting valuable information from massive datasets; machine learning algorithms are used to automatically identify patterns and trends in the data; visualization aids archaeologists in understanding the data more intuitively; and case studies showcase the practical applications of big data analysis methods in archaeological research, such as site distribution analysis and artifact dating.
Edited at 2025-01-14 00:48:19