Credit Card Fraud Detection Using Autoencoder Model in Unbalanced Datasets
نویسندگان
چکیده
منابع مشابه
Credit Card Fraud Detection using Data mining and Statistical Methods
Due to today’s advancement in technology and businesses, fraud detection has become a critical component of financial transactions. Considering vast amounts of data in large datasets, it becomes more difficult to detect fraud transactions manually. In this research, we propose a combined method using both data mining and statistical tasks, utilizing feature selection, resampling and cost-...
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Due to a rapid advancement in the electronic commerce technology, the use 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. In this paper, we model the sequence of operations in credit card transaction processing using a Hidden Markov Model (HMM) and ...
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this paper proposes a HMM (Hidden Markov Model) based fraud detection system for credit card fraud detection. The method works on the statistical behavior of user’s transactions. Since the original transactions are not available due to privacy policies of bank we used here synthetically generated data for a credit card user, and then HMM model is trained using different size of sample of genera...
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ژورنال
عنوان ژورنال: Journal of Advances in Mathematics and Computer Science
سال: 2019
ISSN: 2456-9968
DOI: 10.9734/jamcs/2019/v33i530192