Outlier Detection for Temporal Data: A Survey

@article{Gupta2014OutlierDF,
  title={Outlier Detection for Temporal Data: A Survey},
  author={Manish Gupta and Jing Gao and C. Aggarwal and Jiawei Han},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2014},
  volume={26},
  pages={2250-2267}
}
  • Manish Gupta, Jing Gao, +1 author Jiawei Han
  • Published 2014
  • Computer Science
  • IEEE Transactions on Knowledge and Data Engineering
  • In the statistics community, outlier detection for time series data has been studied for decades. Recently, with advances in hardware and software technology, there has been a large body of work on temporal outlier detection from a computational perspective within the computer science community. In particular, advances in hardware technology have enabled the availability of various forms of temporal data collection mechanisms, and advances in software technology have enabled a variety of data… CONTINUE READING

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