Results 21 to 30 of about 34,803 (186)
Design The Modified Multi Practical Swarm Optimization To Enhance Fraud Detection
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2020 Financial fraud remains an ever-increasing problem in the financial industry with numerous consequences. The detection of fraudulent online transactions via credit cards has always been done using data mining (DM) techniques.
Zainab Khamees Muter, Abeer Tariq Molood
doaj +1 more source
Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms
IEEE Access, 2022 People can use credit cards for online transactions as it provides an efficient and easy-to-use facility. With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced.
Fawaz Khaled Alarfaj +5 more
doaj +1 more source
Credit card fraud detection through machine learning algorithm [PDF]
Big Data and Computing Visions, 2021 Every year, millions of dollars are lost due to fraudulent credit card transactions. To help fraud investigators, more algorithms are turning to powerful machine learning methodologies.
Agyan Panda +2 more
doaj +1 more source
Applied Computational Intelligence and Soft Computing, 2022 The usage of credit cards is increasing daily for online transactions to buy and sell goods, and this has also increased the frequency of online credit card fraud.
Ajeet Singh +2 more
doaj +1 more source
Investigating the effectiveness of one-class and binary classification for fraud detection
Journal of Big Data, 2023 Research into machine learning methods for fraud detection is of paramount importance, largely due to the substantial financial implications associated with fraudulent activities. Our investigation is centered around the Credit Card Fraud Dataset and the
Joffrey L. Leevy +3 more
doaj +1 more source
Credit Card Fraud Detection Using Logistic Regression and Synthetic Minority Oversampling Technique (SMOTE) Approach [PDF]
, 2023 Financial fraud is a serious threat that is expanding effects on the financial sector. The use of credit cards is growing as digitization and internet transactions advance daily. The most common issues in today\u27s culture are credit card scams.
Dalai, Sasanka Sekhar +4 more
core +1 more source
International Journal for Modern Trends in Science and Technology, 2021 This research paper proposes a solution that should be deployed to identify whether the transaction is fraud or not. Although we know that most of the transaction takes place online meaning that this transaction can be theft on the go and will create problem to user therefore this paper focus on some particular machine learning algorithm for example ...
openaire +1 more source
Credit Card Fraud Detection Using Machine Learning Techniques [PDF]
, 2022 This is a systematic literature review to reflect the previous studies that dealt with credit card fraud detection and highlight the different machine learning techniques to deal with this problem. Credit cards are now widely utilized daily.
Elhusseny, Nermin Samy +2 more
core +1 more source
A Comparative Study of Machine Learning Classifiers for Credit Card Fraud Detection [PDF]
, 2020 Now a day’s credit card transactions have been gaining popularity with the growth of e-commerce and shows tremendous opportunity for the future. Therefore, due to surge of credit card transaction, it is a crying need to secure it . Though the vendors and
Nur-E-Arefin, Md.
core +2 more sources
Credit Card Fraud Detection Using Perceptron Training Algorithm and Prevention Using One Time Password. [PDF]
, 2015 In today’s world with evolving technologies and a new mode of shopping through online website, use of credit card has increased day by day. Since the credit card is more prone to fraud than debit card prevention of fraud is an important aspect.
, Prof. Gajanan Bherde, Ashwin Telang, Mehul Bhuva, Harsh Gajra, Ajit Patel
core +2 more sources