DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams

@inproceedings{Shin2017DenseAlertID,
  title={DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams},
  author={Kijung Shin and Bryan Hooi and Jisu Kim and Christos Faloutsos},
  booktitle={KDD},
  year={2017}
}
Consider a stream of retweet events - how can we spot fraudulent lock-step behavior in such multi-aspect data (i.e., tensors) evolving over time? Can we detect it in real time, with an accuracy guarantee? Past studies have shown that dense subtensors tend to indicate anomalous or even fraudulent behavior in many tensor data, including social media… CONTINUE READING