Unsupervised Event Detection with Infinite Poisson Mixture Model

@article{Hegde2015UnsupervisedED,
  title={Unsupervised Event Detection with Infinite Poisson Mixture Model},
  author={Vinod Hegde and Milovan Krnjajic and Alexei Pozdnoukhov},
  journal={2015 IEEE International Congress on Big Data},
  year={2015},
  pages={567-575}
}
Large amount of time series data generated by sensors and Web users is great source of contextual information. Detecting outliers with unusually high values in time series data is crucial for inferring about any events in the real world. In this work, we describe an infinite Poisson mixture model to detect events by identifying outliers in time series of count data. This unsupervised technique estimates the probability densities of count data which have an unknown Poisson mixture while it… CONTINUE READING