Financial fraud under IoT environment refers to the unauthorized use of mobile transaction
using mobile platform through identity theft or credit card stealing to obtain money …

Deep learning is a very noteworthy technic that is take into consideration in the several
fields. One of the most attractive subjects that need more attention in the prediction accuracy …

The technological revolution is accelerating due to a number of key enabling technologies,
such as Artificial Intelligence (AI)/Machine Learning (ML), big data, blockchain, cloud …

With the swift progress of internet and electronic commerce, online money transaction has
increased over time. People mostly eager to use online money transference and because of …

Due to advances in information technology, instantaneous accessibility to financial services
through digital channels has increased. Although digital platforms' usage makes an …

Credit card approval is important in all financial businesses; an applicant may deny and
approve their credit card based on their financial record and personal information. Right …

This study has been carried out to provide a sophisticated machine learning approach for
the marketing prediction problem in banking systems. Classical machine learning models …

Sažetak Fraud detection has received considerable attention from many academic research
and industries worldwide due to its increasing popularity. Insurance datasets are enormous …

Banking fraud is a problem that is becoming more and more serious, along with
considerable monetary losses, damage to the bank's brand, loss of client and customer …

Accepted: 10/06/2019 ABSTRACT–Financial fraud considered as a global issue that faces
the financial sector and economy; as a result, many financial institutions loose hundreds of …