Colorful UI Interface Layout Method Based on Data Mining

Colorful UI Interface Layout Method Based on Data Mining

연구 분야: Databases

학회: International Conference on Innovative Computing

The layout method is critical in intelligent colorful UI interface, however it has an issue with erroneous performance positioning. The typical Deep learning algorithms is unable to address the interface layout method issue in intelligent colorful UI interface, and the result is insufficient. As a result, a Data mining algorithms-based colorful UI interface layout method is provided, and the colorful UI interface layout method is assessed. To begin, the data set theory is used to discover the influencing elements, and the indicators are split based on the layout method's needs to decrease interference factors in the layout method. The data set theory is then used to create a Data mining algorithms layout method scheme, and the outcomes of the layout method are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the Data mining algorithms outperforms the standard Deep learning algorithms in terms of layout method accuracy and time of influencing variables.