摘要
基于对数据挖掘技术、粗糙集理论、模糊逻辑与神经网络算法的分析,文章提出了一种基于数据挖掘的煤矿安全信息管理模型的设计方案。该模型应用Web服务器注册技术和XML数据合成技术形成终端数据库,采用数据挖掘技术中的粗糙集理论和模糊逻辑与神经网络算法形成终端数据仓库,并对终端数据仓库进行统一分析、管理和维护,有效地提高了煤矿安全信息管理的效率。
Based on analysis of data mining technology, rough set theory, fuzzy logic and neural networks algorithm, the paper proposed a design scheme of safety information management model of coal mine based on data mining. The model uses Web server registration technology and XML data composition technology to form terminal database, adopts rough set theory and fuzzy logic and neural networks algorithm of data mining technology to form terminal data warehouse, and analyzes, manages and maintains terminal data warehouse in an unified may. The model improves efficiency of safety information management of coal mine effectively.
出处
《工矿自动化》
2009年第7期36-39,共4页
Journal Of Mine Automation
基金
高校基金(060009)
关键词
煤矿
安全信息管理
数据挖掘
数据仓库
粗糙集
模糊逻辑
神经网络
coal mine, safety information management, data mining, data warehouse, rough set, fuzzy logic, neural network
