Visualization of Association Relation and its Application in Tax Field

All things in the world are connected by nature or human activities; All kinds of information systems have recorded data related to the production and life, and stored these data in the database. People are expected to understand the relationship between things that are implicit in the data, including the overall situation and the specific details of a particular relationship. Finding out the potential relationship from the massive data, using the visual technology to present the related network, revealing the correlation hidden in data, have important practical value and significance for commercial and government applications. By means of visualization, the implicit association relation is presented in this paper to help people better understand and explore relevant information. This paper describes the research background, application status and related concepts and technologies of the visualization of association relations; and explores the total solution and implementation technology of visual presentation of the relationship; proposes a successive and interactive "drill down" approach taking network map as the information entrance to explore the general characteristics, the specific relationship and related details of the real world. Finally, get a thorough understanding of the specific issues and subtle insight. The project in this paper has been applied in the tax department. Show the relationship between taxpayers and tax doubtful information through the analysis of related graphics, comparison, "information drilling" and other means to help the business personnel find problems from the relationship between the interests and risk assessment. It has played an important role in supporting the decision making function for tax assessment, tax inspection and tax management, and had achieved satisfactory results.