Title :
The improvement of Apriori algorithm and its application in fault analysis of CRH EMU
Author :
Zhang, Chun ; Xie, Dezan ; Zhang, Ning ; Li, Honghui ; Liu, Feng
Author_Institution :
Network Manage. Res. Center, Beijing Jiaotong Univ., Beijing, China
Abstract :
According to the maintenance and application situation of CRH EMU (Electric Multiple Unit) in our country, we proposed the improved Apriori algorithm, CApriori (Coding-based Apriori), which can be used for data mining to CRH EMU fault information. Experiments and analysis show that the improved algorithm is more efficient than the base algorithm, while requiring less computation resources.
Keywords :
data mining; fault diagnosis; railways; CApriori; CRH EMU fault information; CRH electric multiple unit; apriori algorithm; base algorithm; coding-based apriori; computation resources; data mining; fault analysis; Apriori Algorithm; CApriori Algorithm; CRH EMU; Fault Analysis;
Conference_Titel :
Service Operations, Logistics, and Informatics (SOLI), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0573-1
DOI :
10.1109/SOLI.2011.5986620
