An approach to mining local causal relationships from databases | |
He, YB ; Geng, Z ; Liang, X | |
2005 | |
英文摘要 | Mining association rules and correlation relationships have been studied in the data mining field for many years. However, the rules mined only indicate association relationships among variables in an interested system. They do not specify the essential underlying mechanism of the system that describe causal relationships. In this paper, we present an approach for mining causal relationships among attributes and propose a potential application in the field of bioinformatics. Based on the theory of causal diagram, we show the properties of our approach.; Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; SCI(E); CPCI-S(ISTP); 0 |
语种 | 英语 |
出处 | SCI |
内容类型 | 其他 |
源URL | [http://hdl.handle.net/20.500.11897/321124] ![]() |
专题 | 数学科学学院 信息科学技术学院 |
推荐引用方式 GB/T 7714 | He, YB,Geng, Z,Liang, X. An approach to mining local causal relationships from databases. 2005-01-01. |
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