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