Mining the Association Rules of Coal Mine Security Monitoring Data Based on the Cloud Theory
Shixiong Xia · Journal of Chinese Computer Systems · 2008
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.Finally,we test it with example,this can prove the effectiveness of the algorithm.