Paper Title
Composition of Automatic Data Visualizationusing Deep-Learning

Abstract
Recently, public data has appeared as a worldwide issue and the public disclosure of public data has increased a lot due to the adoption of open public data policy. However, in Korea, there has been a lack in the index showing how the data is used in the market, how it spreads, and what effect it has. To solve this problem, the authors suggest automatic visualization composition method based on the data association. The visualization composition method is comprised of the process of creating association integration visualization information and the process of association and integration visualization. The visualization composition made according to the suggested method displays excellent result in various parts (in longitudinal analysis, detection, intuitive understanding). Keywords - Public Data, Automatic Data Visualization, Big Data, Deep Learning

Author - Ki-Hyoung Kim, Gui-Hyun Baek, Jae-Du Kim, Su-Kyoung Kim

Published : Volume-5,Issue-9  ( Sep, 2018 )

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