Aug 11, 2015 · In this paper, we propose a novel visual analysis system, TargetVue, which detects anomalous users via an unsupervised learning model and ...

Use global view to pick out outliers and anomalies. • Inspect the users, and study their behaviour. • Inspect specific features of users. • Tune the model. • ...

A novel visual analysis system, TargetVue, is proposed, which detects anomalous users via an unsupervised learning model and visualizes the behaviors of ...

In this paper, we propose a novel visual analysis system, TargetVue, which detects anomalous users via an unsupervised learning model and visualizes the ...

Aug 1, 2015 · In this paper, we propose a novel visual analysis system, TargetVue, which detects anomalous users via an unsupervised learning model and ...

TargetVue: Visual Analysis of Anomalous User Behaviors in Online Communication Systems. Cao, N., Shi, C., Lin, S., Lu, J., Lin, Y., & Lin, C. IEEE ...

In this work, we survey state-of-the-art research work in visual analytics of anomalous user behaviors and classify them into four application domains, which ...

TargetVue: Visual Analysis of Anomalous User Behaviors in Online Communication Systems · Nan Cao · Conglei Shi · et al.

In this work, we survey the state of art in visual analytics of anomalous user behaviors and classify them into four categories including social interaction, ...

This article surveys state-of-the-art research work in visual analytics of anomalous user behaviors and classify them into four application domains, ...