Behavioral graph fraud detection in E-commerce

no code implementations • 13 Oct 2022 • Hang Yin, Zitao Zhang, Zhurong Wang, Yilmazcan Ozyurt, Weiming Liang, Wenyu Dong, Yang Zhao, Yinan Shan

Our experiments show that embedding features learned from similarity based behavioral graph have achieved significant performance increase to the baseline fraud detection model in various business scenarios.

Fraud Detection graph construction +1

Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection

no code implementations • 12 Jan 2021 • Wei Min, Weiming Liang, Hang Yin, Zhurong Wang, Mei Li, Alok Lal

To utilize the behavior sequence data, we treat click stream data as event sequence, use time attention based Bi-LSTM to learn the sequence embedding in an unsupervised fashion, and combine them with intuitive features generated by risk experts to form a hybrid feature representation.

Clustering Fraud Detection +1