Research On Dynamic Display Strategy Of Relevance Of Big Data Information

With the rapid development of the Internet,massive data is rich in great value and makes data relationships increasingly complex.Information visualization can effectively help users to correlate information about excavators.Therefore,how to use the visual method to mine the relationship between big data and apply it to reality has become a hot issue in academic circles and various industries.However,the information presentation of high-dimensional multi-dimensional data visualization often leads to the excessive amount of information carried by the page,thus weakening the relationship representation of the information,resulting in a decrease in user identification efficiency.The dynamic visualization of increasing the time representation dimension can alleviate the limitation of high-dimensional data visualization page to some extentThis study aims to use dynamic visualization to better display the information association between data and assist users in high-dimensional data mining.This paper starts from the information association,and deeply discusses the design characterization and visual perception of dynamic visualization,and tries to establish the mapping relationship between "multidimensional information-dynamic representation-visual perception".This paper deconstructs big data from the perspective of complex information attributes and statistics,and proposes three basic types of information association:hierarchical association,network association and time correlation.And focus on analyzing its associated features.In the research of dynamic visualization representation of high-dimensional information,this paper divides it into dynamic visualization based on time dimension and dynamic visualization based on interaction dimension.Aiming at the dynamic visualization based on time dimension,the representation strategies of static variables and dynamic variables are proposed.The interactive feedback form and interaction criteria are proposed for the dynamic visualization of interaction dimensions.Focusing on the user's visual perception and improving the cognitive efficiency of information association,a dynamic representation display strategy for information association is proposed,which helps to improve the readability of big data visualization association displayIn order to verify the validity of the dynamic display strategy of big data information relevance,the design evidence is completed from the actual traffic big data.The results show that the dynamic display strategy proposed in this paper can effectively reduce the cognitive load of users in the process of information association recognition and improve cognitive efficiency.The research content of this paper fills the theoretical blank of the big data information relevance visualization method to a certain extent,and can provide a theoretical reference for visualization practice...