In the realm of financial security, the detection and prevention of credit card fraud has
become paramount. With the ever-increasing reliance on digital transactions, the risk of …

Purpose This study aims to clarify influencing factors of overcapacity of new energy
enterprises in China and accurately predict whether these enterprises have overcapacity …

Imbalanced data classification is an important problem in the field of computer science.
Traditional classification algorithms often experience a decrease in accuracy when the data …

Operational data is always huge. A preprocessing step is needed to prepare such data for
the analytical process so the process will be fast. One way is by choosing the most effective …

Parkinson's disease (PD) is a neurodegenerative condition that affects the neurological,
behavioral, and physiological systems of the brain. According to the most recent WHO data …

Dandelion optimization based feature selection with machine learning for digital transaction
fraud detection Page 1 AIMS Mathematics, 9(2): 4241–4258. DOI: 10.3934/math.2024209 …

Credit card fraud presents a significant risk to both financial institutions and cardholders,
necessitating the implementation of robust detection measures. This study focused on …

In the wake of recent progresses in electronic trade and communiqué links, credit card use
has skyrocketed for both online and in-person purchases. Maximum credit card datasets are …