Exploratory Data Analysis for Credit Card Fraud Detection

Kirar, Jyoti Singh; Kumar, Deepak; Chatterjee, Diptirtha; Patel, Prasoon Singh; Yadav, Shailendra Nath

doi:10.1109/compe53109.2021.9751922

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…The importance of this issue is because the use of credit cards in payments is increasing worldwide. Fraud detection is done in all three classical, online, and commercial fields through data mining and machine learning (16)(17)(18)(19). Banking and other related industries face a significant challenge in detecting and preventing fraud.…”

Section: Literature Reviewmentioning

confidence: 99%

Presenting a Model to Detect the Fraud in Banking using Smart Enabling Tools

Hamidi,

Karbasiyan

2024

IJE

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In recent years, with the increase of access to customer data and the improvement of data analysis capabilities through intelligent methods, various activities have been carried out to analyze customer behavior; it is in the detection of bank frauds. Currently, bank frauds have a wide range of results, other than material and financial losses to the bank, customers and banks. After using smart tools to use different algorithms, the two selected algorithms XGBoost and LightGBM, according to the high ROC in the obtained models were selected step by step. At the same time, it has been used in final tests with the reduction of false samples labeled as fraud (FP). This model is developed using real development data and gives very acceptable results in card-to-card fraud detection. This model can significantly improve the security of the banking system and be used as a tool to reduce financial crimes.

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Section: Literature Reviewmentioning

confidence: 99%

Presenting a Model to Detect the Fraud in Banking using Smart Enabling Tools

Hamidi,

Karbasiyan

2024

IJE

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“…They should develop fundamental capabilities and enhance competitive advantages in progress, utilizing new technologies and electronic systems. Electronic banking is considered one of the fundamental and important principles of the progress of any bank in the modern era (19,20).…”

Section: Literature Reviewmentioning

confidence: 99%

A Model for Analysis of Social Media in Adoption of Mobile Banking

Hamidi,

Mohammadi

2024

IJE

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Banks can design more efficient methods for customer acquisition by utilizing social media platforms. By monitoring information from social media platforms, banks can analyze customers' reactions to offer by competitors and adopt appropriate strategies to increase customer satisfaction and attract new customers. Present research focuses on analyzing the role of social media in the acceptance of mobile banking at Bank Melli of Qazvin Province. This research is of a survey and applied nature. The data collection tool is a survey, and the data collection method is fieldwork. The study population includes all managers and deputies of Bank Melli of Qazvin Province in various positions. The sample size is calculated using the Cochran formula due to the limited population. In this study, the indicators were identified, and hypotheses were formulated based on these indicators. Finally, using statistical techniques, all the proposed hypotheses were proven and the impact of all indicators was confirmed. The results have confirmed the effect of social media performance on the individual recognition of mobile banking consumers.

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A survey on novel fraud detection techniques in transaction using machine learning and deep learning

Suthar,

Patel

2024

AIP Conference Proceedings

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Exploratory Data Analysis for Credit Card Fraud Detection

Cited by 4 publications

References 6 publications

Presenting a Model to Detect the Fraud in Banking using Smart Enabling Tools

Presenting a Model to Detect the Fraud in Banking using Smart Enabling Tools

A Model for Analysis of Social Media in Adoption of Mobile Banking

A survey on novel fraud detection techniques in transaction using machine learning and deep learning

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