Big Data Mining-Based University Knowledge Management System
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    Abstract:

    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.

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李景奇,卞艺杰.基于大数据挖掘的高校知识管理系统.计算机系统应用,2017,26(9):54-61

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History
  • Received:January 03,2017
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  • Online: October 31,2017
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