Application of Data Mining Combined Visualization Technology in Visual Communication


연구 분야: Databases



학회: 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)


초록

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.


Author Profile
Yu Ying

School of Shenyang Jianzhu University Shenyang China

China
Author Profile
Sun Yue

School of Shenyang Jianzhu University Shenyang China

China

📄 논문 정보

발행 연도 2020년
인용수 1
출판 국가 China
사이트 IEEE
좋아요 수 0

연관 논문 목록 (126건)