Anomaly detection in data streams based on graph coloring density coefficients

@article{Tripathi2016AnomalyDI,
  title={Anomaly detection in data streams based on graph coloring density coefficients},
  author={Achyut Mani Tripathi and Rashmi Dutta Baruah},
  journal={2016 IEEE Symposium Series on Computational Intelligence (SSCI)},
  year={2016},
  pages={1-7}
}
Anomaly or outlier detection is a fundamental task of data mining and widely used in various application domains. The main aim of anomaly detection is to identify all the data points with significant deviation from other normal data points. Mining the outliers become more challenging in environments where data is received at extreme pace. Such environments… CONTINUE READING