基于大数据分析的高校创业网络信息平台设计

Design of College Entrepreneurship Network Information Platform Based on Big Data Analysis

为提升高校创业网络信息平台的运行性能,提高网络信息平台的数据处理、挖掘、调度能力,提出一种基于大数据分析的高校创业网络信息平台设计方案。该方案将大数据分析算法应用于网络信息平台。首先,从平台的数据来源层采集信息大数据,并确定大数据采集范围;其次,将信息大数据传输至数据层,经过数据层的简化预处理,对数据进行分类存储;再次,通过共享接口将数据传输至分析层,分析层运行大数据分析算法;最后,采用数据流自适应调整调度和特征搜索算法,将大数据特征转化为可供直接参考的共享数据,并随着数据对象和需求的变化实时更新,为创业决策提供有效的实时参考信息。实验结果表明,网络信息平台具有良好的数据挖掘和处理性能。

In order to improve the operation performance of university entrepreneurship network information platform and improve the data processing,mining and scheduling ability of network information platform,a design scheme of university entrepreneurship network information platform based on big data analysis is proposed.The scheme applies the big data analysis algorithm to the network information platform.Firstly,collect big data from the data source layer of the platform and determine the collection range of big data;Secondly,the information big data is transmitted to the data layer,and the data is classified and stored after the simplified preprocessing of the data layer;Thirdly,the data is transmitted to the analysis layer through the shared interface,and the analysis layer runs the big data analysis algorithm;Finally,the data flow adaptive scheduling and feature search algorithm are used to transform the big data features into shared data for direct reference,and update them in real time with the changes of data objects and requirements,so as to provide effective real-time reference information for entrepreneurial decision-making.The experimental results show that the network information platform has good data mining and processing performance.