Credit card fraud is becoming a serious and growing problem as a result of the emergence
of innovative technologies and communication methods, such as contactless payment. In …

Multi-modal multi-objective optimization problem (MMOPs) has attracted more and more
attention in evolutionary computing recently. It is not easy to solve these problems using the …

Credit card fraud detection is a challenging task since fraudulent actions are hidden in
massive legitimate behaviors. This work aims to learn a new representation for each …

This work investigates an unmanned aerial vehicle (UAV) assisted IoT system, where a UAV
flies to each foothold to collect data from IoT devices, and then return to its start point. For …

With the popularity of credit cards worldwide, timely and accurate fraud detection has
become critically important to ensure the safety of their user accounts. Existing models …

Recently, multimodal multi-objective problem (MMOP) has become a popular research field
in multi-objective optimization problems. Multimodal multi-objective optimization problem …

With the flourishing of the credit card business and Internet technology, the risk of fraudulent
credit card transactions is ever-increasing due to the complex information involved in the …

Surrogate-assisted evolutionary algorithms (SAEAs) have been successfully employed for
expensive optimization. However, most SAEAs are designed for expensive unconstrained …

Since minority samples are substantially less common than majority samples, many
industrial applications, such as credit card fraud detection (CCFD) and defective part …

Recent years have witnessed the proliferation of techniques for streaming data mining to
meet the demands of many real-time systems, where high-dimensional streaming data are …