数据挖掘在交互式信息可视化设计中的应用

W. Ruixue
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引用次数: 0

摘要

为了克服传统交互式信息可视化模型中视觉信息挖掘精度低、视觉视图生成耗时长的问题,本文提出了数据挖掘在交互式信息可视化模型设计中的应用。首先,采用数据挖掘算法中的决策树算法对交互视觉信息进行挖掘;在挖掘结果的基础上,构建了交互式信息可视化参考模型、交互式信息可视化数据状态参考模型和交互式信息资源可视化模型。通过上述模型,可以完成交互信息的可视化映射处理,并生成可视化视图,对交互信息进行可视化显示。实验结果表明,与传统的可视化模型相比,所构建的可视化模型具有更高的数据挖掘精度,并能有效缩短可视化视图的生成时间,提高数据处理效率。
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 in interactive information visualization design
In order to overcome the problems of low precision of visual information mining and long time consuming of visual view generation in traditional interactive information visualization model, this paper proposes the application of data mining in the design of interactive information visualization model. Firstly, the decision tree algorithm of data mining algorithm is used to mine the interactive visual information. Based on the mining results, interactive information visualization reference model, interactive information visualization data state reference model and interactive information resource visualization model are constructed. Through the above model, the visual mapping processing of interactive information can be completed, and the visual view can be generated for the visual display of interactive information. The experimental results show that, compared with the traditional visualization model, the constructed visualization model has higher data mining accuracy, and can effectively shorten the generation time of visualization view and improve the efficiency of data processing.
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