Volume : II, Issue : VII, July - 2013

Credit Crime Detection By Using Multilayer System

G Anil Kumar, D Venkatesh, Kante Ramesh

Abstract :

Credit Crime detection is very essential aspect of all computer applications. Especially Credit crime is much reported crime in the literature. Credit application fraud is one of the examples of Credit crime. The existing applications that do not use data mining techniques for Credit crime detection have limitations. To overcome the limitations and address the Credit crime in the real world, this paper presents a Java based, user-friendly application based on the multilayered detection approach proposed by Phua et al. The layers include CD (Communal Detection) and SD (Spike Detection). The CD algorithm can find social relationships in the dataset while the SD algorithm finds spikes in duplicates. The combination of these algorithms can detect many attacks. Our prototype application in Java shows how the Credit crime is detected. The results reveal that this application can be used in real world applications as supplement.

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

G ANIL KUMAR, D VENKATESH, KANTE RAMESH Credit Crime Detection By Using Multilayer System International Journal of Scientific Research, Vol : 2, Issue : 7 July 2013

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