A Computer Graphic Image Technology with Visual Communication Based on Data Mining

Xiaoyu Yan
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Abstract

With the continuous development of network computer technology, people's visual perception ability is enhanced, and the requirements for computer design are gradually increasing. Figure and picture design of computer is no longer limited to the simple design of graphics or images, but is more inclined to visually convey the effect and enhance the expressiveness and beauty of graphics and images. Based on this situation, based on data mining algorithm, this paper puts forward the optimization strategy of figure and picture design of computer and the design of visual sense transmitting, and discusses the specific application of computer-related design in people's practical life. In the application of figure and picture design of computer and the design of visual sense transmitting, data mining algorithm can not only efficiently and accurately mine the final frequent set association rules, but also meet the requirements of efficient data mining in multi-core and heterogeneous platforms, which verifies the effectiveness and feasibility of data mining algorithm in computer graphic images.
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基于数据挖掘的计算机图形图像视觉通信技术
随着网络计算机技术的不断发展,人们的视觉感知能力增强,对计算机设计的要求也逐渐提高。计算机图形和图像设计不再局限于简单的图形或图像的设计,而更倾向于视觉上传达效果,增强图形和图像的表现力和美感。基于这种情况,本文提出了基于数据挖掘算法的计算机图形与图片设计和视觉传递设计的优化策略,并探讨了计算机相关设计在人们实际生活中的具体应用。在计算机图形图像设计和视觉感知传输设计的应用中,数据挖掘算法既能高效、准确地挖掘最终频繁集关联规则,又能满足多核异构平台高效数据挖掘的要求,验证了数据挖掘算法在计算机图形图像中的有效性和可行性。
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