Research on Archival Data Mining Technology Based on Deep Learning
This paper explores deeply the archival data mining technology based on deep learning,and analyzes its application prospects and challenges in archives management.It fiirst outlines the basic concepts of deep learning and archival data mining,and then introduces in detail the application methods of deep learning in archival data mining,including feature extraction,classification,clustering,etc.Through specific analysis,it demonstrates the advantages of deep learning in archival data mining and proposes targeted optimization strategies.
deep learningarchival data miningfeature extractionclassificationclustering
万方数据
维普
