Experimental Report on Improved Generalized Mapping Algorithm in E-commerce Fraud Detection
Year: 2025
Type: preprint
Abstract: This experiment focuses on the field of e-commerce fraud detection, aiming to verify the performance advantages of the improved generalized mapping algorithm compared with the Markov chain. Simulated order data with 9 features were generated via Python, and both algorithms were used for processing. The experimental results, analyzed from aspects of time complexity and accuracy, show that the improved generalized mapping algorithm surpasses the Markov chain in detection accuracy, providing a more reliable solution for e-commerce risk control. In terms of processing efficiency, the Markov chain has a speed advantage for small-scale orders, while the improved generalized mapping algorithm is more efficient for large-scale orders.
DOI: 10.31224/5138
Author: 洪涛 凌
Institution: Anhui Institute of International Business
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4413356524