This paper is primarily focused on E-commerce fraud detection using machine learning
techniques. There are many different ways to detect E-commerce fraud using machine …

Purpose Product returns are a major challenge for e-businesses as they involve huge
logistical and operational costs. Therefore, it becomes crucial to predict returns in advance …

This paper takes e‐commerce as the research object, based on the combination of wireless
sensor network research results, using relevant theoretical analysis tools to identify several …

Promotion abuse fraud is promotion abuse by duplicating accounts to gain an advantage
over promotional codes fraudulently. This action inflicts a financial loss on the company …

With the proliferation of e-commerce stores in recent decades, the occurrence of fraud
activities orchestrated by organized groups, known as Ring-of-Abusers (RoAs), has …