基于数据挖掘的高校管理信息系统设计与实现

Design and Implementation of University Management Information System Based on Data Mining

高校事务信息的数据规模较大,更新速度较快,复杂度较高,需要设计有效的高校管理信息系统,提高信息管理能力;传统的高校管理信息系统设计采用嵌入式Visual Basic的信息管理系统构架方法,系统的信息再植入能力和多线程处理性能不好,提出一种基于多元特征数据挖掘和嵌入式Linux内核的高校管理信息系统设计方法;首先在嵌入式Linux的核单元中进行高校管理信息系统总体设计和文件配置,进行系统的功能模块分析和技术指标描述;设计基于相空间重构和关联特征提取的数据挖掘算法,进行高校管理信息的有用特征挖掘和提取;以数据挖掘结果进行程序加载和引导,进行高校管理信息系统的软件开发和设计,主要包括程序加载模块、数据存储模块、交叉编译模块以及网络通信模块的设计,实现基于数据挖掘的高校管理信息系统的改进设计;实验结果表明,采用该系统进行高校管理信息的挖掘和存取调度,具有较好的可靠性和人机交互性,系统的吞吐性能和执行时间开销等指标具有优越性。

The data size of school affairs information is larger, the update speed is faster, the complexity is higher, the university man- agement information system needs to be designed to improve the ability of information management. Traditional university management infor- mation system design using embedded Basic Visual information management system architecture method, the system of information and the a- bility to deal with multi thread processing performance is not good. A design method of university management information system based on multi feature data mining and embedded Linux is proposed. Firstly, the overall design and file configuration of the management information system of the university management information system in the embedded Linux, and the function module analysis and the technical index description are carried out. Design of data mining algorithm based on phase space reconstruction and association feature extraction, and the use ful feature mining and extraction of management information in universities. In data mining results are program loading and guide, software development and design of management information system in Colleges and universities, including the program loading module, data storage module, cross compile module and network communication module design, based on data mining of university management information system to improve the design. The experimental results show that using the system of university management information mining and access scheduling, with good reliability and man-machine interaction, system throughput performance and execution time overhead index has advantages.