Research on User Interaction Design of a Multidimensional Data Visualization Display Platform Based on Random Forest Algorithm

Based on the rapid growth of big data technology, multidimensional data visualization display platform is crucial to present and understand these massive datasets. The efficiency of this kind of platform is closely related to its user interaction design, that helps user to explore data with their own visual experience. This paper seeks to explore the method and the relationship of user interaction design of multidimensional data visualization platform. To do this, the Random Forest, one of the important machine learning algorithms is adopted to select proper interface elements for helping user to browse data and evaluate his or her reaction in multidimensional data visualization platform. The experiments indicates the participation of Random Forest brings benefit of more accurate user preferences classification and makes interface of the data visualization platform be more reactive and personalized. The results emphasize the possibility of data visualization platform's interface designing that combines user-centered design and intelligent algorithm to construct more adaptability and efficiency platform to fit user's experience and personalized demand, and this could provide research suggestions to multidimensional data visualization interactive platform.