Abstract
Archives management in colleges and universities is closely related to the normal operation of colleges and universities, including many important functions; Not only that, the university archives road involves many aspects, such as teaching, logistics management, scientific research and so on. Generally speaking, the management data of colleges and universities are large and complicated, and the work complexity is relatively high. With the continuous development of information technology, the informatization construction of university archives management is an inevitable trend, which can maximize the comprehensive efficiency of university archives management. On this basis, the construction of university archives management system has become an important part of information construction. The purpose of this paper is to improve the efficiency of management through the in-depth study of university archives management, to build an informationized university archives management system. This paper firstly analyzes the main problems existing in the archives management of colleges and universities under the background of informatization, and then puts forward the specific construction scheme of the archives management system. Finally, it tests the scientificity and feasibility of the system by means of clustering analysis algorithm. The experiments in this paper show that the establishment of the university archives management system under the background of information greatly improves the efficiency of archives management and provides great convenience for the management work.
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Acknowledgements
This work was supported by the conclusion of the 2018 project “Research on the management of students’ Archives in the context of the transformation and development of local universities” of Jilin province’s education science “13th five year plan”, subject number GH180631.
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Sun, Y. (2021). Exploration and Reflection on the Construction of University Archives Management System Under the Background of Information Technology. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_46
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DOI: https://doi.org/10.1007/978-3-030-51431-0_46
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