DocumentCode :
3025374
Title :
Applying Research of Data Mining Technology on the Analysis of Vehicles Report-Stop Fraud
Author :
Zhou, Qian ; Liu, Yin-Sheng
Author_Institution :
Changsha Univ. of Sci. & Technol., Changsha, China
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
315
Lastpage :
318
Abstract :
Vehicles report-stop fraud is an important factor of highway fees loss, which is more than the proportion of 20% of the total loss in statistics. The paper uses data mining and data warehouse technology to resolve the deficiencies of traditional data management information system on the analysis of vehicles report-stop fraud. The significance of the issue and mining goal were described, and the correlational database used to integrate was analysed. what´s moer, the analysis model and arithmetic of data mining on the report-stop fraud of vehicles were expatiated. Chaperonaging the process, a practical example was demonstrated by using the data mining technology, which shows it has a better application value in the analysis of vehicles report-stop fraud.
Keywords :
data mining; relational databases; traffic information systems; correlational database; data management informatin system; data mining technology; data warehouse technology; highway fees loss; vehicles report-stop fraud analysis; Arithmetic; Data mining; Data warehouses; Databases; Information analysis; Management information systems; Paper technology; Road transportation; Road vehicles; Statistics; analysis of vehicles report-stop fraud; data mining; highway management; model and arithmetic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
Type :
conf
DOI :
10.1109/DBTA.2009.43
Filename :
5207753
Link To Document :
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