期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：8-3
出版社：Seventh Sense Research Group
摘要：Crime is well known, and it may exist in any form and our proposed work focus on the Credit Card related crime which shows how effectively the crime rate can be stopped. The existing system of detection is done manually and may not give feasible results for the Banks. To limit this crime in Credit card related issues we have proposed a system where in two ways the crime rate can be reduced and is far better than the data mining detection of business rules. The two techniques that help to cut down the crime rates are Spike Detection and Community Identification or also called as Hamlet Detection. Community Identification helps find the relationships through which they can prevent the issue of credit cards. Spike Detection in this project helps the application to detect the crime being done when the transaction is being done using that specific card. Together, these techniques can detect more types of attacks, better account for changing legal behavior, and remove the redundant attributes. Various test results will be conducted to carry out the process of Crime Detection. We are performing this process on Credit Card because it best suits this, as the money on Credit Card is Banks money to which security can be given from bank side and so we are implementing the above mentioned techniques and the adequate results were captured.
关键词：Crime; Spike Detection; Hamlet Detection; data mining; Credit Card
