DocumentCode :
2496455
Title :
The Application of Data Mining Technology in the Mining Safety Management
Author :
Liu, Kainan ; Zhang, Fengyan ; Zhang, Meiyun ; Hou, Yunbing
Author_Institution :
Civil & Environ. Eng. Sch., Univ. of Sci. & Technol. Beijing, Beijing, China
Volume :
2
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
150
Lastpage :
153
Abstract :
The safety analysis methods of the current management of traditional safety system that are the method of the fault tree analysis (FTA) and the information system of safety management (monitoring) are integrated and optimized by applying the data mining association algorithm. The new theoretical model of the management of the mining safety system is established to avoid the shortcomings that are omissions, errors, and only consider the (0, 1) state of the drawbacks of the incident existed in FTA, that improves the security management system (monitoring), empirical, passive lack of processing capacity. And the new ways are proposed to update the knowledgebase of the security system, and the evaluation of the management of the safety system is made initiative and intelligent by applying the data mining technique and the association algorithm.
Keywords :
data mining; fault trees; mining; occupational safety; process monitoring; data mining technology; fault tree analysis; information system; knowledge base; mining safety management; monitoring; safety analysis; safety system; Algorithm design and analysis; Data mining; Data security; Fault trees; Information analysis; Management information systems; Monitoring; Safety; Technology management; US Department of Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Information Technology (MMIT), 2010 Second International Conference on
Conference_Location :
Kaifeng
Print_ISBN :
978-0-7695-4008-5
Electronic_ISBN :
978-1-4244-6602-3
Type :
conf
DOI :
10.1109/MMIT.2010.61
Filename :
5474347
Link To Document :
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