The Visualization of E-commerce High-dimensional Data Based on Random Forest

作者：Zhu Xianwen^*; Yin Hongtan

来源：Agro Food Industry Hi-Tech, 2017, 28(1): 987-991.

• Random forest
• E-commerce
• high-dimensional data

At present, mathematical theory is the basis of the main methods of mining high-dimensional data, rather than intuitive based on visualization. In order to evaluate and analyze the high-dimensional data more intuitively, the author thinks that the random forest method should be introduced into the field of high-dimensional data mining, and the high-dimensional data can be visualized. The rapid development of e-commerce in today's society makes the majority of researchers pay more and more attention to the research of e-commerce high dimensional data visualization. Therefore, the author makes a visualized analysis of the high-dimensional data of e-commerce on the basis of random forest, proving that the visualization of random forest can show the distribution law of high-dimensional data better.

• 出版日期2017-2
• 单位黄淮学院