Fuzzy Data Mining Technology Based on Time Sequence in Archives Management System

Abstract

The rapid development of data mining technology enables the processing of unstructured data in archives. It can help realize the multiple classification of archives, the accurate retrieval of archive information, the integrated presentation of archive content, and the scientific standardization of archive appraisal. This article mainly introduces the research of fuzzy data mining technology based on time series in archives management system. This paper uses the research on the time series-based fuzzy data mining technology in the archives management system, uses the data mining technology to plan and design the archives management system, and combines the relevant procedures of the archives management work to discuss what should be followed when designing the archives data mining model. It also introduces the basic framework of archive data mining in detail, mainly from the aspects of database construction, data preprocessing, data document establishment, training process design, application process architecture and so on. The experimental results of this paper show that the research on the time series-based fuzzy data mining technology in the file management system has increased the efficiency of file management by 19%. The limitation of the research on the time series-based fuzzy data mining technology in the file management system is the data Mining applications provide good methods and ways to analyze, discuss and summarize, so as to enrich the academic research results.