摘要：

Abstract:

【Purpose/significance】Revealing and comparing the evolution process of hot topics in the field of Data Mining in China

and abroad.【Method/process】Taking data in the field of Data Mining from core journals in CNKI and Web of Science from 1998 to

2018, topics are extracted by LDA model and hot topics are selected based on life cycle theory, and a contrastive analysis in China and

abroad on the Evolution are based on these hot topics. Topic evolution paths are generated to contrast evolution of hot topics between

home and abroad which are grouped into dimensions of technology and application.【Result/conclusion】In the theoretical dimension

of data mining, the research content at home lags behind that at abroad. In terms of application dimension, domestic application tends

to be in social sciences, while application at abroad tends to be in natural sciences. The overall research focus has gradually shifted

from theoretical research to application research, and there are many emerging developments combined with big data technology.【In⁃

novation/limitation】Providing a new way to visualize and compare the evolution of hot topics in the field of Data Mining in China and

abroad. But it fails to analyze quantify the lagging performance and contributing factors in the field of Data Mining at home and abroad.