ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems

Youjin Shin, Sangyup Lee, Shahroz Tariq, Myeong Shin Lee, Okchul Jung, Daewon Chung, Simon S. Woo. ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems. In Mathieu d'Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, Philippe Cudré-Mauroux, editors, CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020. pages 2733-2740, ACM, 2020. [doi]

@inproceedings{ShinLTLJCW20,
  title = {ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems},
  author = {Youjin Shin and Sangyup Lee and Shahroz Tariq and Myeong Shin Lee and Okchul Jung and Daewon Chung and Simon S. Woo},
  year = {2020},
  doi = {10.1145/3340531.3412716},
  url = {https://doi.org/10.1145/3340531.3412716},
  researchr = {https://researchr.org/publication/ShinLTLJCW20},
  cites = {0},
  citedby = {0},
  pages = {2733-2740},
  booktitle = {CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020},
  editor = {Mathieu d'Aquin and Stefan Dietze and Claudia Hauff and Edward Curry and Philippe Cudré-Mauroux},
  publisher = {ACM},
  isbn = {978-1-4503-6859-9},
}