Design of Archives Management System Based on Data Mining Technology

In order to enhance the performance of archives management and further improve the efficiency of archives management, a archives management system based on data mining technology is designed. The system includes three parts: database management, query management and archives analysis management. The functional structure diagram of the archives management system is listed, and the specific process of data mining is proposed. The mining algorithm of K-means is improved, and the relationship of various resources in the archives management system is deeply explored. The archives management system mainly uses SQL Server relational database software, and lists in detail the establishment process of databases and data tables in the archives management system, as well as the design process of SQL query programming, SQL update programming and SQL delete programming in the archives management database. Applying this system to archives management can not only achieve the functions of archive data collection, query, update, delete, insert, etc., Moreover, it greatly simplifies the work of the file management personnel and carries out scientific, standardized and effective management of the file system.