Accelerated Local Anomaly Detection via Resolving Attributed Networks

@inproceedings{Liu2017AcceleratedLA,
  title={Accelerated Local Anomaly Detection via Resolving Attributed Networks},
  author={Ninghao Liu and Xiao Huang and Xia Hu},
  booktitle={IJCAI},
  year={2017}
}
Attributed networks, in which network connectivity and node attributes are available, have been increasingly used to model real-world information systems, such as social media and e-commerce platforms. While outlier detection has been extensively studied to identify anomalies that deviate from certain chosen background, existing algorithms cannot be directly applied on attributed networks due to the heterogeneous types of information and the scale of real-world data. Meanwhile, it has been… CONTINUE READING

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