Research on Library Knowledge Management System Based on Computer Data Information Security

Abstract

In order to improve the effect of library knowledge management, this paper combines data mining technology to conduct library knowledge management data mining, and constructs a library knowledge management performance evaluation system. Moreover, this paper proposes a subspace clustering algorithm based on spectral clustering for sparse sample self-expression. In the performance evaluation of library knowledge management, this paper uses subspace clustering to cluster high-dimensional data, and maintains the essential connection of sample points to achieve better clustering effect. In addition, on the basis of applying knowledge management and data mining technology, this paper proposes the process of library knowledge management system based on data mining according to the actual work requirements of the library. Through the experimental research, it can be seen that the performance evaluation method of library knowledge management based on data mining proposed in this paper can effectively improve the efficiency of library management.