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
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;
Conference_Titel :
Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3881-5
DOI :
10.1109/WCSE.2009.734