| 基于云理论的煤矿安全监测数据关联规则挖掘 |
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| 引用本文： | 孟凡荣,宋春景,郑中,夏士雄. 基于云理论的煤矿安全监测数据关联规则挖掘[J]. 小型微型计算机系统, 2008, 29(9) |
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| 作者姓名： | 孟凡荣 宋春景 郑中 夏士雄 |
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| 作者单位： | 中国矿业大学,计算机科学与技术学院,江苏,徐州,221008 |
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| 基金项目： | 国家自然科学基金，江苏省科研项目 |
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| 摘 要： | 本文主要研究如何运用关联规则来评价巷道瓦斯危险源的风险程度,作为分析煤矿事故危险源的补充.文章在云模型的基础上,针对煤矿安全监测数据的特点,提出一种基于云理论的属性空间软划分模型,然后在此基础上对Apriori算法进行了改进,提出适用于对煤矿安全监测数据进行关联规则挖掘的算法.最后通过实例测试,验证了改进算法的有效性.
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| 关 键 词： | 云理论 关联规则 瓦斯危险源 Apriori算法 |
Mining the Association Rules of Coal Mine Security Monitoring Data Based on the Cloud Theory |
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| MENG Fan-rong,SONG Chun-jing,ZHENG Zhong-pei,XIA Shi-xiong. Mining the Association Rules of Coal Mine Security Monitoring Data Based on the Cloud Theory[J]. Mini-micro Systems, 2008, 29(9) |
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| Authors: | MENG Fan-rong SONG Chun-jing ZHENG Zhong-pei XIA Shi-xiong |
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| Affiliation: | MENG Fan-rong,SONG Chun-jing,ZHENG Zhong-pei,XIA Shi-xiong (Computer Science , Technology Department,China University Of Mining , Technology,Xuzhou 221008,China) |
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| Abstract: | Gas is the most important part in the safety of coal mine production.The research is mainly about how to apply the association rules to evaluate roadway,which can be the complement for the analysis of dangerous source.According to the characters of safety monitoring data in coal mine,we propose an attribute spatial soft-division model based on cloud theory.Then we use the model to improve the Apriori algorithm,and propose an algorithm that is suitable for associate rule mining of safety monitoring data.Fina... |
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| Keywords: | cloud theory association rules coal mine gas danger parameters Apriori algorithm |
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