Credit card is one of the convenient way of payment in online shopping. In this on line shopping, payment is made by giving information like card no, security code , expiration date of the Credit card etc . To rectify the risk factors of using the credit card, every card holder’s spending method is modeled by using HMM. By using this authenticated security check the information of transaction i...

Today there are millions of credit card transactions are being processed and mining techniques are highly applied to amount transaction and processing then the data’s are highly skewed Mining such massive amounts of data requires highly efficient techniques that scaled that can be extend transactions are legitimate than fraudulent fraud detection systems were widely used but this document gives...

Credit card fraud detection has been one of the major necessities of the current e-commerce based world. The ease of use provided by e-commerce transactions is hindered by the threat caused by fraudsters. Several models have been proposed for identifying fraudulent transaction in a credit card system. However, the threats still do tend to exist. This paper discusses and analyzes the major reaso...

Now a day the usage of credit cards has dramatically increased. As credit card becomes the most popular mode of payment for both online as well as regular purchase, cases of fraud associated with it are also rising. Various techniques like classification, clustering and apriori of web mining will be integrated to represent the sequence of operations in credit card transaction processing and sho...

American Express (AMEX) is one of the most popular credit card services in U.S. Lately, company facing loss some valued customers for specific reasons. This paper investigates customers’ cancellation behavior based on XGBoost terms AMEX data. Besides, factors contributing to cancellations are identified, e.g., customer age, total transaction counts, amount. According analysis, proposed model ca...

0957-4174/$ see front matter 2010 Elsevier Ltd. A doi:10.1016/j.eswa.2010.04.054 * Corresponding author. E-mail addresses: [email protected] (D. Zhan Zhou), [email protected] (S.C.H. Leung). In recent years, more and more people, especially young people, begin to use credit card with the changing of consumption concept in China so that the business on credit cards is growing fast. The...

Credit scoring models, or score cards, can contribute to bank safety and soundness as long as bank management actively participates in the development, implementation, monitoring, and validation of the model. Operational factors, such as accurate implementation of the credit scoring model and adequate training of data input staff, also can have an impact on the effectiveness of models. Changes ...

Charles Sprenger and Joanna Stavins Abstract: Approximately half of credit card holders in the United States regularly carry unpaid credit card debt. These so‐called “revolvers” exhibit payment behavior that differs from that of those who repay their entire credit card balance every month. Previous literature has focused on the adoption of debit cards by people who carry credit card balances, ...

There is a significant need to understand the law that relates to credit cards, both civil and criminal, especially, in the context of ever increasing credit card frauds, and the way in which the civil law has contributed to it, and the insufficient way in which the criminal law has sought to combat it. It cannot be denied that credit card misuse is a global problem. It will also indicate some ...

This paper derives a model for the profitability of credit cards, which allow lenders to find the optimal dynamic credit limit policy. The model is a Markov decision process, where the states of the system are based on the borrower’s behavioural score and the decisions are what credit limit to give the borrower each period. In determining the Markov chain which best describes the borrower’s per...