Fraud Detection by Monitoring Customer Behavior and Activities
نویسندگان
چکیده
منابع مشابه
Fraud Detection by Monitoring Customer Behavior and Activities
With the enhancement in technology e-banking like credit Card, Debit Card, Mobile Banking and Internet Banking is the popular medium to transfer the money from one account to another. E-Banking is gaining popularity day by day, which increases the online transaction with the increase in online shopping, online bill payment like electricity, Insurance Premium and other charges, online recharges ...
متن کاملLearning Latent Customer Representations for Credit Card Fraud Detection
A growing amount of consumers are making purchases online. Due to this rise in online retail, online credit card fraud is increasingly becoming a common type of theft. Previously used rule based systems are no longer scalable, because fraudsters can adapt their strategies over time. The advantage of using machine learning is that it does not require an expert to design rules which need to be up...
متن کاملLatent Customer Representations for Credit Card Fraud Detection
A growing amount of consumers are making purchases online. Due to this rise in online retail, online credit card fraud is increasingly becoming a common type of theft. Previously used rule based systems are no longer scalable, because fraudsters can adapt their strategies over time. The advantage of using machine learning is that it does not require an expert to design rules which need to be up...
متن کاملUsing Regression based Control Limits and Probability Mixture Models for Monitoring Customer Behavior
In order to achieve the maximum flexibility in adaptation to ever changing customer’s expectations in customer relationship management, appropriate measures of customer behavior should be continually monitored. To this end, control charts adjusted for buyer’s/visitor’s prior intention to repurchase or visit again are suitable means taking into account the heterogeneity across customers. In the ...
متن کاملahp algorithm and un-supervised clustering in auto insurance fraud detection
this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/19584-1340