数据挖掘结合可视化技术在视觉传达中的应用

Yu Ying, Sun Yue
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引用次数: 0

摘要

可视化数据挖掘利用数据或知识可视化技术从大型数据集中发现隐藏的和有用的知识。它融合了数据挖掘和数据可视化两个学科,并与计算机图形学、多媒体系统、人机界面等学科相融合。与此密切相关的是,目的是以一种直观有效的方式解释和评估待挖掘的数据和挖掘任务的结果。本文将可视化技术与数据挖掘技术相结合,设计了一种基于多源数据集成的视觉传达网页设计方法。深层网络爬虫用于检索视觉传播网站。它使用抓取方法来过滤url和抓取有用的页面。实验结果表明,采用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,具有良好的视觉传达效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Data Mining Combined Visualization Technology in Visual Communication
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.
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