A Fraud Identification Model to Detect Deception for Online Shopping Networks
Qixia Sun (China University of Geosciences, United Kingdom (Great Britain))
To promote the healthy development of e-commerce and maintain the stability of the economy and society, it is particularly important to study online shopping fraud, which has a strong practical significance. Firstly, we use the framework of law case base to calculate the similarity of the case using the nearest neighbor method. This facilitate the determination of the weights by proposing a design method based on the analytic hierarchy process to make adjustments, which leads to the identification of the case with high confidence as fraud in online shopping.
Journal: International journal of simulation: systems, science & technology V18
Published: Mar 31, 2017