Design and optimization of financial management information system in colleges and universities under the background of big data

Abstract

In order to promote the effect of financial management (FM) informatization in colleges and universities (CAU), this paper combines the big data technology to design the FM informatization system in CAU and conducts a detailed study on the BF algorithm. Aiming at the problem of misjudgment in the process of URL deduplication, this paper proposes a BF algorithm based on Hash splitting with multiple eigenvalues and analyzes and compares its performance with experiments. Finally, the effectiveness of the algorithm in reducing the misjudgment rate of deduplication is confirmed. Then, this paper proposes a strategy of parallel dynamic task adjustment in the process of URL deduplication. The experimental research results show that the FM information management system of CAU proposed in this paper can effectively improve the effect of financial information management in CAU.