Advanced fraud detection systems leverage the digital traces from (credit-card) transactions
to detect fraudulent activity in future transactions. Recent research in fraud detection has …

Credit risk has been a widespread and deep penetrating problem for centuries, but not until
various credit derivatives and products were developed and novel technologies began …

Credit card transaction fraud costs billions of dollars to card issuers every year. Besides, the
credit card transaction dataset is very skewed, there are much fewer samples of frauds than …

Although the incidence of credit card fraud is limited to a small percentage of transactions,
the related financial losses may be huge. This demands the design of automatic Fraud …

Fraud detection is an industry where incremental gains in predictive accuracy can have
large benefits for banks and customers. Banks adapt models to the novel ways in which …

Graphs can be seen as a universal language to describe and model a diverse set of
complex systems and data structures. However, efficiently extracting topological information …

Every second, thousands of credit or debit card transactions are processed in financial
institutions. This extensive amount of data and its sequential nature make the problem of …

In the automatic credit card transaction classification there are two phases: in the Real-Time
(RT) phase the system decides quickly, based on the bare transaction information, whether …

The volume of e-commerce continues to increase year after year. Buying goods on the
internet is easy and practical, and took a huge boost during the lockdowns of the Covid …

Ecommerce platforms need to assure transaction security in the face of rising challenges
and fraud attempts that are perilous for business and consumers alike. Predictive AI has …