bet365 live casino games As a way to cross disciplines，Knowledge discovery and data mining are a multidisciplinary field。Its goal is to identify and describe data mode，Transmits meaningful data mode information to users，and use a series of predicted variables and their multi -weight combination forms to highly accurately predict the result variables。Data mining is actually the process of knowledge discovery，Including understanding of the problem area、Understand data、Data mining、Data mining、Evaluate new knowledge and use new knowledge and other links，Integration and interpretation of two research methods。This process not only responds to "data -based"、"Data Drive" misunderstanding，and provide a new way for discovering new theory and innovative thinking，Provides a new solution for challenges from causality。Compared to traditional social science research methods，Data mining is more concerned about the complete explanation of the entire event，Use multiple、Rich data of complex and detail，Focus on causal heterogeneity and multiple non -linear relationships，Therefore, compared with the traditional statistical model。

　　Keywords:Data mining big data knowledge found quantitative quantitative analysis causality

Author Shu Xiaoling，Professor of Sociology at the Davis Campus of the University of California; Chen Jingjing，Doctoral student at the Department of Sociology, Davis Campus of the University of California。