摘要
数据挖掘和信息融合是2种功能不同的处理数据的过程,2种方法虽然原理不同,但在功能上可以相互弥补。介绍了基于数据挖掘技术建立信息融合模型的原理和算法,研究了基于模糊粗糙集的数据挖掘算法建立瓦斯灾害信息融合模型的方法,并对所建模型进行误差曲线仿真分析。
Data mining and information fusion are the process of handling data, their fundamentals are different, but they can make up deficiencies on the function. The theory and arithmetic of building information fusion models based on data mining are introduced. The coal mine gas as a example is illustrated how to build the fusion model based on fuzzy-rough set, and error curve of this mode is analyzed by emulating.
出处
《传感器与微系统》
CSCD
北大核心
2008年第1期52-54,共3页
Transducer and Microsystem Technologies
基金
辽宁省自然科学基金资助项目(2051206)
关键词
数据挖掘
信息融合
建模
模糊粗糙集
瓦斯灾害
data mining
information fusion
building model
fuzzy-rough set
coal mine gas disaster