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Application of Data Mining Combined Visualization Technology in Visual Communication

机译:数据挖掘组合可视化技术在视觉通信中的应用

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Visual data mining uses data or knowledge visualization technology to discover hidden and useful knowledge from large data sets. It integrates two disciplines, data mining and data visualization, and integrates with computer graphics, multimedia systems, human-machine interface and other disciplines. Closely related, the purpose is to explain and evaluate the data to be mined and the results of the mining task in an intuitive and effective way. This thesis combines visualization technology and data mining technology to design a visual communication webpage design method based on multi-source data integration. The Deep Web crawler is used to retrieve the visual communication website. It uses crawling methods to filter URLs and crawl useful pages. The experimental results show that the intelligent power distribution management webpage designed by this method runs well, has high visualization performance and information mining quality, and has a good visual communication effect.
机译:可视数据挖掘使用数据或知识可视化技术从大型数据集中发现隐藏的有用知识。它集成了数据挖掘和数据可视化这两个学科,并与计算机图形学,多媒体系统,人机界面和其他学科集成。密切相关,目的是以直观有效的方式解释和评估要开采的数据和开采任务的结果。本文结合可视化技术和数据挖掘技术,设计了一种基于多源数据集成的视觉交流网页设计方法。 Deep Web搜寻器用于检索可视通信网站。它使用爬网方法来过滤URL和爬网有用的页面。实验结果表明,该方法设计的智能配电管理网页运行良好,具有较高的可视化性能和信息挖掘质量,并具有良好的可视化交流效果。

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