| 摘 要: 当前,信息化正面临着一个全新的阶段,即以数据的深度挖掘和整合应用为核心的智慧化阶段,智慧校 园已成为时下高校信息化建设的重要内容。分析高校信息化建设现状和Hadoop、Spark等大数据技术框架,并重点从数 据存储层、核心业务层和信息展示层对智慧校园学生综合测评系统进行分析与设计,为大数据技术与智慧校园的深度融 合提供方案。 |
| 关键词: 智慧校园;数据挖掘;Hadoop和Spark |
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中图分类号: TP274
文献标识码: A
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| Design and Research of the Student Comprehensive Evaluation System for Smart Campus Based on Big Data |
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MAO Lingcheng, XIE Guifang, SHAO Zhouwei, SHI Hairu, JIANG Xiulian
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(Xuzhou University of Technology, Xuzhou 221000, China )
3100786500@qq.com; 1872769089@qq.com; 2465532727@qq.com; 1277156627@qq.com; jxl@xzit.edu.cn
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| Abstract: At present, informatization is entering a new stage, that is, the intelligent stage with data deep mining and integrated application as the core. Smart campus has become an important part of university information construction. This paper analyzes the current situation of university informatization construction and big data technology framework such as Hadoop and Spark, analyzes and designs the student comprehensive evaluation system of smart campus from data storage layer, core business layer and information display layer, so as to provide a scheme for the deep integration of big data technology and smart campus. |
| Keywords: smart campus; data mining; Hadoop and Spark |
