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作 者:迟云平[1] 吴伟生[1] CHI Yunping;WU Weisheng(South China Institute of Software Engineering,Guangzhou 510990,China)
出 处:《现代电子技术》2021年第14期81-85,共5页Modern Electronics Technique
基 金:国家自然科学基金项目(11604059);教育部全国高校就业创业特色教材项目(JC19312)。
摘 要:文中在大数据分析下构建一个高校创新创业信息共享平台,提升信息数据挖掘、处理、调度能力的同时实现平台信息共享。该平台在来源层确认大数据采集目标,通过开放获取机制确认所得大数据范围及内容,经数据采集器传输所提取的目标大数据至数据层;在数据层简化数据表并创建数据处理过程,通过分类存储机制分类保存所得大数据,利用数据共享开放接口传输所得数据至分析层;分析层采用大数据分析算法分析处理大数据,实现信息的自适应调度及访问;通过整合共享机制整合所得大数据,在表现层显示最终可随需求及对象变化的表现内容。实验结果表明,该平台具备较好的数据挖掘、数据处理以及数据调度能力,可以实时、有效实现高校创新创业信息共享。A university innovation and entrepreneurship information sharing platform is built on the basis of analysis of big data to improve the ability of information data mining,processing and scheduling,and realize platform information sharing.The big data acquisition targets are confirmed at the source layer by the platform.The scope and content of the obtained big data are confirmed by means of the open access mechanism.The extracted target big data are transmitted to the data layer through the data collector.The data table is simplified and the process of data processing is created in the data layer.The obtained big data are stored by means of the classification storage mechanism.The obtained data are transmitted to the analysis layer through the data sharing open interface.In the analysis layer,a big data analysis algorithm is used to analyze and process big data to realize the adaptive scheduling and access of the information.The obtained big data are integrated by means of the integration and sharing mechanism.The manifestation contents that can change with the demand and object are displayed in the presentation layer.The experimental results show that the platform has good data mining,data processing and data scheduling capabilities,and can achieve real-time and effective sharing of innovation and entrepreneurship information in colleges and universities.
关 键 词:高校 创新创业信息 共享平台 大数据分析 大数据整合 信息共享 数据挖掘
分 类 号:TN919-34[电子电信—通信与信息系统] TP311.5[电子电信—信息与通信工程]
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