نتایج جستجو برای: credit card fraud detection

تعداد نتایج: 621589  

Journal: :Expert Syst. Appl. 2012
Sanjeev Jha Montserrat Guillen J. Christopher Westland

Credit card fraud costs consumers and the financial industry billions of dollars annually. However, there is a dearth of published literature on credit card fraud detection. In this study we employed transaction aggregation strategy to detect credit card fraud. We aggregated transactions to capture consumer buying behavior prior to each transaction and used these aggregations for model estimati...

2013
Hetvi Modi Shivangi Lakhani Nimesh Patel Vaishali Patel

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...

2014
Avanti H. Vaidya S. W. Mohod

With the rise and swift growth of E-Commerce, credit card uses for online purchases has increased dramatically and it caused sudden outbreak in the credit card fraud. Fraud is one of the major ethical issues in the credit card industry. With both online as well as regular purchase, credit card becomes the most popular mode of payment with cases of fraud associated with it are also increasing. F...

Journal: :Expert Syst. Appl. 2013
Yusuf Sahin Serol Bulkan Ekrem Duman

With the developments in the information technology, fraud is spreading all over the world, resulting in huge financial losses. Though fraud prevention mechanisms such as CHIP&PIN are developed for credit card systems, these mechanisms do not prevent the most common fraud types such as fraudulent credit card usages over virtual POS (Point Of Sale) terminals or mail orders so called online credi...

2011
Y. Sahin E. Duman

— With the developments in the Information Technology and improvements in the communication channels, fraud is spreading all over the world, resulting in huge financial losses. Though fraud prevention mechanisms such as CHIP&PIN are developed, these mechanisms do not prevent the most common fraud types such as fraudulent credit card usages over virtual POS terminals or mail orders. As a result,...

Journal: :Expert Syst. Appl. 2015
Nader Mahmoudi Ekrem Duman

In parallel to the increase in the number of credit card transactions, the financial losses due to fraud have also increased. Thus, the popularity of credit card fraud detection has been increased both for academicians and banks. Many supervised learning methods were introduced in credit card fraud literature some of which bears quite complex algorithms. As compared to complex algorithms which ...

2014
Neha Sethi Anju Gera

As there is a vast advancement in the E-commerce technology, the use of credit cards has grown up. The credit card has become the crucial mode of payment so with the rise in the credit card transactions, the credit card frauds have also become frequent nowadays. [1] Thus, an improved fraud detection system has become essential to maintain the reliability of the payment system. The criterion is ...

2015
R. RAJAMANI

-------------------------------------------------------------------ABSTRACT---------------------------------------------------With the emergence of internet and e-commerce, the use of credit card is an unavoidable one. The credit cards are used for purchasing goods and services. We can make both online and offline payment easily with the help of credit cards. For online transaction it uses virt...

2011
V. Bhusari S. Patil

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...

Journal: :Expert Syst. Appl. 2016
Alejandro Correa Bahnsen Djamila Aouada Aleksandar Stojanovic Björn E. Ottersten

Every year billions of Euros are lost worldwide due to credit card fraud. Thus, forcing financial institutions to continuously improve their fraud detection systems. In recent years, several studies have proposed the use of machine learning and data mining techniques to address this problem. However, most studies used some sort of misclassification measure to evaluate the different solutions, a...

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