37 Interactive Technology Team

Feb 20, 2020 · Artificial Intelligence

Risk Control System for Detecting Game Account Fraud Using Feature Engineering and Graph Database

The article describes a risk‑control pipeline for detecting high‑volume fraudulent game accounts, detailing data collection from game logs, extensive feature engineering and statistical tests, enrichment via a Neo4j knowledge graph, and a hybrid RandomForest‑GBDT model combined with methods to filter personal accounts.