DocumentCode
511670
Title
Positive and Negative Association Rules Applied in Coal Accidents
Author
Shen, Yanguang ; Liu, Jie ; Li, Hongli
Author_Institution
Sch. of Inf. & Electron. Eng., Hebei Univ. of Eng., Handan, China
Volume
1
fYear
2009
fDate
28-30 Oct. 2009
Firstpage
572
Lastpage
575
Abstract
In view of the forecast of the coal spontaneous combustion, an analysis model to forecast the possibility of coal spontaneous combustion was established. Then, an analysis method of positive and negative association rules based on data mining was proposed. Application of the method can mine rules from the explicit and implicit factors related to coal spontaneous combustion. It can not only overcome the weak point of the traditional association rules method which can only mine the explicit rules, but also output some more meaningful rules, providing scientific basis for controlling coal spontaneous combustion.
Keywords
combustion; data mining; disasters; mining; safety; association rules; coal accident; coal spontaneous combustion; data mining; mine safety; Accidents; Association rules; Combustion; Data mining; Frequency; Load forecasting; Power engineering and energy; Predictive models; Safety; Space technology; coal spontaneous combustion; data mining; mine safety; positive and negative association rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-3881-5
Type
conf
DOI
10.1109/WCSE.2009.734
Filename
5403403
Link To Document