2009Coal science and technologyRequires access

Application of Decision Tree Excavation to Coal Mine Safety Monitoring and Measurement

Sun Chang-li

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Abstract

According to the classification function of the decision tree algorithm in the data excavation,based on the application in the mine safety monitoring and measurement,with the analysis on the coal mine data,such as the gas contents,sensor types,mine safety status and so on measured from different locations of the mine,the safety hidden danger could be identified in the present mine.Therefore the hidden danger could be on timely eliminated and the mine safety production could be effectively ensured.

About this research paper

What this paper is about

According to the classification function of the decision tree algorithm in the data excavation,based on the application in the mine safety monitoring and measurement,with the analysis on the coal mine data,such as the gas contents,sensor types,mine safety status and so on measured from different locations of the mine,the safety hidden danger could be identified in the present mine.Therefore the hidden danger could be on timely eliminated and the mine safety production could be effectively ensured.

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Available abstract

According to the classification function of the decision tree algorithm in the data excavation,based on the application in the mine safety monitoring and measurement,with the analysis on the coal mine data,such as the gas contents,sensor types,mine safety status and so on measured from different locations of the mine,the safety hidden danger could be identified in the present mine.Therefore the hidden danger could be on timely eliminated and the mine safety production could be effectively ensured.

Key concepts: Coal mining, Mine safety, Excavation, Mining engineering, Safety monitoring, Decision tree, Engineering, Forensic engineering

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