基于大数据分析的图书馆风险预警系统设计

Design of Library Risk Alarm System Based on Big Data Analysis

如何有效地利用所测量到的大数据去预警服务的安全性和可靠性,已成为图书馆研究的热点问题。本文设计了一种基于大数据分析的图书馆风险预警系统,解决了传统风险预测方法精度低、广泛性差的问题,可通过发现大数据中存在的关系和规则预测服务风险未来的发展趋势。

How to effectively apply the measured Big Data to the security and reliability of early warning services has become one of the hot issues in library. This article designs a risk alarm system for library based on Big Data analysis, which solves the problem that traditional risk prediction methods have low precision and poor generalization, and can find the relationship and rule between Big Data to predict the future trend of service risk.