DocumentCode
2634088
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
Volume
4
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
241
Lastpage
245
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.327
Filename
5170995
Link To Document