Dependency Anomaly Detection for Heterogeneous Time Series: A Granger-Lasso Approach

Sahar Behzadi, Katerina Hlavácková-Schindler, Claudia Plant. Dependency Anomaly Detection for Heterogeneous Time Series: A Granger-Lasso Approach. In Raju Gottumukkala, Xia Ning, Guozhu Dong, Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu, editors, 2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017. pages 1090-1099, IEEE Computer Society, 2017. [doi]

@inproceedings{BehzadiHP17,
  title = {Dependency Anomaly Detection for Heterogeneous Time Series: A Granger-Lasso Approach},
  author = {Sahar Behzadi and Katerina Hlavácková-Schindler and Claudia Plant},
  year = {2017},
  doi = {10.1109/ICDMW.2017.155},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2017.155},
  researchr = {https://researchr.org/publication/BehzadiHP17},
  cites = {0},
  citedby = {0},
  pages = {1090-1099},
  booktitle = {2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017},
  editor = {Raju Gottumukkala and Xia Ning and Guozhu Dong and Vijay Raghavan and Srinivas Aluru and George Karypis and Lucio Miele and Xindong Wu},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-3800-2},
}