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