Before revision:  We evaluate our proposed model with real-world datasets and results show our approach can achieve over 90\% accuracy for user classification, far better than other comparable baselines .
After revision:  We evaluate our proposed model with real-world datasets and results show our approach can achieve high accuracy for anomalous users detection .