2009 First International Workshop on Database Technology and Applications Applying Research of Data Mining Technology on the Analysis of Vehicles Report-Stop Fraud Wuhan, Hubei, China April 25-April 26 ISBN: 978-0-7695-3604-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DBTA.2009.43
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.
Index Terms:
highway management; analysis of vehicles report-stop fraud; data mining; model and arithmetic
Citation:
Qian Zhou, Yin-sheng Liu, "Applying Research of Data Mining Technology on the Analysis of Vehicles Report-Stop Fraud," dbta, pp.315-318, 2009 First International Workshop on Database Technology and Applications, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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