Title :
The Applied Research of Association Rules Mining in Automobile Industry
Author :
Lei, Zhang ; Zi-dong, Zhang ; Xiao-dong, Wang ; Bin, Sun
Author_Institution :
Coll. of Comput. & Inf. Technol., Henan Normal Univ., Xinxiang, China
fDate :
March 31 2009-April 2 2009
Abstract :
With the advancement of their information technology, many enterprises have accumulated a large amount of business data. We hope to analyze these data on a higher level in order to use then better. The current database systems are unable to find the association rules in data, and cannot predict the developing trend and lack method mining information and knowledge hidden behind the data information. The paper mines the vehicle maintenance database with association rules, and implements fault analysis of vehicle accessories.
Keywords :
automobile industry; data mining; database management systems; fault diagnosis; association rules mining; automobile industry; fault analysis; information technology; vehicle accessories; vehicle maintenance database systems; Assembly; Association rules; Automobiles; Automotive engineering; Data mining; Information technology; Mining industry; Production; Transaction databases; Vehicles; Association rules; Data mining; FP-growth;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.327
