基于大数据挖掘的高校知识管理系统

当前高校大数据应用面临数据集成困难、成果难以应用、知识难以管理等问题,急需加以解决.本文结合知识管理与软件工程方法,首先设计了基于CRISP-DM的高校大数据挖掘流程;在此基础上,设计了高校知识管理系统的总体架构和功能模型;然后对主要功能模型进行了详细设计,并对其关键技术——数据集成方法、大数据挖掘技术进行了分析和设计;最后给出了该系统的开发环境及测试情况.该系统设计方案对高校大数据应用提供了参考和借鉴.

Big Data Mining-Based University Knowledge Management System

The current application of big data in universities is facing many problems such as difficulties in data integration, results application and knowledge management, which need to be resolved urgently. Combined with the method of knowledge management and software engineering, this paper firstly designs the process of university big data mining based on CRISP-DM. On this basis, it designs the overall structure of the university knowledge management system and the function models, and then it designs the main function models in detail. Next, it analyzes the key technologies of data integration and big data mining. Finally, it gives the development environment and test of the system. The design scheme of the system provides a reference for the application of big data in universities.