An Analysis of Archive Digitization in the Context of Big Data

With the advancement of technology and the accumulation of archival information resource data in the era of big data, making use of archival information resources to improve the archival service capability and promote intelligent archive management has become a pressing task for data resource management. Keeping the significance of archive management in consideration, this research focuses on the implementation of data mining technology in the archive information resource sharing platform by discussing the construction of the data mining model, which is based on explaining the ideas related to data mining. The functional modules and operational process of the data mining model are comprehensively examined in order to select and create archival information data sources. The process of preparing data mining models as well as the creation of the prediction and the profiling models are discussed to lay down the foundation of a data mining-based model for archival information resources. Furthermore, this study also provides a more effective scientific solution to achieve the goal of comprehensive development of archival information digitization.