Big Data-Driven In-Depth Analysis of Archival Information
Resources

MeiLin Chen

doi:10.70711/frim.v3i10.7520

Big Data-Driven In-Depth Analysis of Archival Information Resources

MeiLin Chen

Abstract

This paper analyzes the impact of big data technologies on archival information management. Traditional archival methods face
challenges in data volume, structure, and retrieval efficiency. Big data offers tools for comprehensive extraction and utilization of archival
resources. The study explores how big data frameworks integrate with archival systems, discusses data mining models for archives, and highlights the practical value of big data in improving management efficiency and decision-making. It also addresses technical obstacles, privacy
concerns, and ethical issues. The conclusion emphasizes big datas transformative potential in modern archival management and anticipates
future trends in intelligent, automated archival analysis.

Keywords

Big Data; Archival Information Resources; Data Mining; Information Retrieval; Archival Management

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References

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DOI: http://dx.doi.org/10.70711/frim.v3i10.7520

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