Nowadays the customers prefer the most accepted payment mode via credit card for the convenient way of online shopping, paying bills in easiest way. At the same time the fraud transaction risks using credit card is a main problem which should be avoided. There are many data mining techniques available to avoid these risks effectively. In existing research they modelled the sequence of operation...

The credit card has become an essential part of business operations, both nationally and globally. It plays a very important role in today's economy. While the use cards offers considerable benefits when used responsibly with care, financial damage can be caused by fraudulent default. Many techniques have been proposed to combat growth defaults. However, all these same goal preventing defaults;...

Today, many people prefer online payment methods due to the rapid growth in cashless electronic transactions. Credit and debit cards are most popular but prone fraud nature of their use tendency fraudsters access details. This study proposes a theoretical credit detection prevention model using Decision Tree Algorithm (DCA). Moreover, survey questionnaire was used investigate students' percepti...

the issuing of credit cards by banks and other financial and credit institutions is a new experience in iran. the compatibility of credit cards with islamic rules and islamic banking and establishment of a legal structure for maintaining security for such cards, avoiding frauds and settling relating disputes is one of the most challenging issues of the iranian legislation. as the issuance and u...

<p>In recent years, the use of credit cards around world has grown enormously. Thus, number fraud cases have also increased, resulting in losses thousands dollars worldwide. Therefore, it is mandatory to techniques that are able assist detection card fraud. For this purpose, we proposed a multi-level architecture, composed four levels: authentication level, behavioral smart level and back...

Now day’s Outlier Detection is used in various fields such as Credit Card Fraud Detection, Cyber-Intrusion Detection, Medical Anomaly Detection, and Data Mining etc. So to detect anomaly objects from various types of dataset Outlier Detection techniques are used, that detects and remove the anomaly objects from the dataset. Outliers are the containments that divert from the other objects. Outli...

Due to the rise of technology, the possibility of fraud in different areas such as banking has been increased. Credit card fraud is a crucial problem in banking and its danger is over increasing. This paper proposes an advanced data mining method, considering both feature selection and decision cost for accuracy enhancement of credit card fraud detection. After selecting the best and most effec...

Due to the dramatic increase of fraud which results in loss of billions of dollars worldwide each year, several modern techniques in detecting fraud are continually evolved and applied to many business fields. Fraud detection involves monitoring the behaviour of populations of users in order to estimate, detect, or avoid undesirable behaviour. Undesirable behaviour is a broad term including mis...

In modern retail market environment, electronic commerce has rapidly gained a lot of attention and also provides instantaneous transactions. In electronic commerce, credit card has become the most important means of payment due to fast development in information technology around the world. As the usage of credit card increases in the last decade, rate of fraudulent practices is also increasing...