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Design and research of archives management system based on Data Mining Technology

Published: 24 June 2022 Publication History

Abstract

In order to enrich the functions of the archives management system, data mining technology is selected as the research tool, and the user service function and text type division function are taken as the key design contents. A new research on the design of archives management system is proposed. Among them, the development of user service function takes the user's personal information and access footprint as the basis, and uses data mining technology to extract highly relevant information as recommendation information. Text type division takes preprocessing, word segmentation and de stop words as the processing core to divide text types in detail. The system test results show that the accuracy of text type classification is 100%, the operation efficiency is significantly improved, and it has great advantages in user experience.

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DSDE '22: Proceedings of the 2022 5th International Conference on Data Storage and Data Engineering
February 2022
124 pages
ISBN:9781450395724
DOI:10.1145/3528114
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2022

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Author Tags

  1. Archives management
  2. K-means clustering
  3. data mining technology

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