Results 51 to 60 of about 139,322 (228)
Credit Card Fraud Detection Using Advanced Transformer Model [PDF]
2024 IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom)With the proliferation of various online and mobile payment systems, credit card fraud has emerged as a significant threat to financial security. This study focuses on innovative applications of the latest Transformer models for more robust and precise ...
Chang Yu +5 more
semanticscholar +1 more source
Credit Card Fraud: A New Perspective On Tackling An Intransigent Problem [PDF]
, 2011 This article offers a new perspective on battling credit card fraud. It departs from a focus on post factum liability, which characterizes most legal scholarship and federal legislation on credit card fraud and applies corrective mechanisms only after ...
Mana, Jafar +2 more
core +1 more source
Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach [PDF]
Journal of Theory and Practice of Engineering ScienceCredit card fraud detection is a critical challenge in the financial sector, demanding sophisticated approaches to accurately identify fraudulent transactions.
Mengran Zhu +4 more
semanticscholar +1 more source
A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection
IEEE Access, 2023 Credit cards play an essential role in today’s digital economy, and their usage has recently grown tremendously, accompanied by a corresponding increase in credit card fraud.
Ibomoiye Domor Mienye, Yanxia Sun
semanticscholar +1 more source
Behavioral Sciences &the Law, EarlyView.ABSTRACT Bankruptcy and financial distress commonly precipitate suicidal crises, putting bankruptcy attorneys in potentially difficult situations with clients. This qualitative study explored attorneys' experiences with clients' risk for suicide and attorneys' recommendations for suicide prevention.
John R. Blosnich +4 more
wiley +1 more source
Neural data mining for credit card fraud detection [PDF]
, 2010 The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary diagnostic quality: Since only one financial transaction of a thousand is ...
Brause, Rüdiger W. +2 more
core
ElectronicsThis study presents an optimization for a distributed machine learning framework to achieve credit card fraud detection scalability. Due to the growth in fraudulent activities, this research implements the PySpark-based processing of large-scale ...
Leonidas Theodorakopoulos +3 more
semanticscholar +1 more source
International Journal of Finance &Economics, EarlyView.ABSTRACT Big data and financial innovations are vital to enhancing the performance of banking institutions. However, limited evidence exists on the effects of big data applications and financial innovation on bank performance. This study addresses this gap by constructing a theoretical framework linking big data applications and financial innovations ...
Mandella Osei‐Assibey Bonsu +1 more
wiley +1 more source
Systemic Acquired Critique of Credit Card Deception Exposure through Machine Learning
Journal of Open Innovation: Technology, Market and Complexity, 2022 : A wide range of recent studies are focusing on current issues of financial fraud, especially concerning cybercrimes. The reason behind this is even with improved security, a great amount of money loss occurs every year due to credit card fraud.
Rui Miguel Dantas +5 more
doaj +1 more source
Credit card fraud detection by adaptive neural data mining [PDF]
, 1999 The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary diagnostic quality: Since only one financial transaction of a thousand is ...
Brause, Rüdiger W. +2 more
core