An analytic approach to select data mining for business decision
Expert Systems with Applications: An International Journal
Employing transaction aggregation strategy to detect credit card fraud
Expert Systems with Applications: An International Journal
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Superimposition frauds with respect to credit card and mobile (cell) phone usages, as well as identity thefts have become some of the fastest growing crimes worldwide. As fraudsters increasingly leverage technology systems, products and channels to commit crime, it becomes critical that businesses employ intelligent automated systems to proactively reduce their exposure to fraud, minimize risk losses and defend their organizations' reputation. Thus businesses are increasingly getting involved in studying emerging security technologies as well as developing new security applications with these technologies to stay ahead of the competition in retaining and growing their customer base. This research is concerned about examining the aforementioned frauds and providing a summary review of the latest artificial intelligence technologies that have been used to develop security applications to consistently discover, monitor, examine and manage the aforementioned fraudulent activities across organizations — thus helping managers to identify and employ effective controls and prevention measures, as well as helping researchers, who are seeking more robust ways to protect the users from consumer fraud, with the identification of research projects to undertake to further advance the field.