Design of Online Education Big Data Platform Based on Data Mining and Data Collection Technology

Xueyun Zhou, Yongjun Qi, Hailing Tang, Shukun Zhang
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Abstract

With the continuous development of modern information technology, my country has gradually entered the era of big data. The salient features of the big data era are rich data resources, convenient data processing and information exchange, and smoother learning and communication between people. The impact of big data on education is also very significant. This paper studies the online education big data platform based on data mining and data collection technology, uses data mining technology and data collection technology to design the online education big data platform, and tests the designed platform. The test results show that this paper improves the algorithm the accuracy of clustering analysis is good, and the number of errors is controlled within 5, and then the query time of the platform is tested. The time for the platform from data query to acceptance is within 30 minutes, which meets the requirements of platform design.
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基于数据挖掘与数据采集技术的在线教育大数据平台设计
随着现代信息技术的不断发展,我国逐渐进入了大数据时代。大数据时代的显著特征是数据资源丰富,数据处理和信息交换方便,人与人之间的学习和交流更加顺畅。大数据对教育的影响也是非常显著的。本文研究了基于数据挖掘和数据采集技术的在线教育大数据平台,利用数据挖掘技术和数据采集技术对在线教育大数据平台进行了设计,并对设计的平台进行了测试。测试结果表明,本文改进的算法聚类分析准确率较好,误差数控制在5个以内,并对平台的查询时间进行了测试。平台从数据查询到验收时间在30分钟内,满足平台设计要求。
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