Results 41 to 50 of about 34,803 (186)
An intelligent approach to detect and predict online fraud transaction using XGBoost algorithm [PDF]
The most popular payment method in recent years is the credit card. Due to the E-commerce industry’s explosive growth, the usage of credit cards for online purchases have been greatly increased as a result frauds has increased.
Bala, Bala Santhosh +2 more
core +2 more sources
Machine Learning Techniques for Credit Card Fraud Detection [PDF]
, 2020 The term “fraud”, it always concerned about credit card fraud in our minds. And after the significant increase in the transactions of credit card, the fraud of credit card increased extremely in last years.
Abd El-Hamid, Hossam Eldin Mohammed, Ahmed Abdou +3 more
core +1 more source
Ensemble of Example-Dependent Cost-Sensitive Decision Trees [PDF]
, 2015 Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes.
Aouada, Djamila +2 more
core +2 more sources
Credit Card Fraud Detection in Card-Not-Present Transactions: Where to Invest?
Applied Sciences, 2021 Online shopping, already on a steady rise, was propelled even further with the advent of the COVID-19 pandemic. Of course, credit cards are a dominant way of doing business online.
Igor Mekterović +3 more
doaj +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
Credit Card Fraud Detection Using Optimized Ensemble Learning Models [PDF]
, 2023 Credit card fraud poses a significant threat to financial institutions and their clientele worldwide. Many current fraud detection methods lag behind the evolving strategies of fraudsters, resulting in escalating financial risks.
Smita Tripathi
core +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
Jurnal Sisfokom, 2023 The use of credit cards is increasing in today's digital era. This increase has resulted in many cases of fraud which have had a negative impact on credit card owners.
Indah Werdiningsih +7 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