Detecting Variable Length Anomaly Patterns in Time Series Data

Ngo Duy Khanh Vy, Duong Tuan Anh. Detecting Variable Length Anomaly Patterns in Time Series Data. In Ying Tan, Yuhui Shi, editors, Data Mining and Big Data, First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings. Volume 9714 of Lecture Notes in Computer Science, pages 279-287, Springer, 2016. [doi]

@inproceedings{VyA16,
  title = {Detecting Variable Length Anomaly Patterns in Time Series Data},
  author = {Ngo Duy Khanh Vy and Duong Tuan Anh},
  year = {2016},
  doi = {10.1007/978-3-319-40973-3_28},
  url = {http://dx.doi.org/10.1007/978-3-319-40973-3_28},
  researchr = {https://researchr.org/publication/VyA16},
  cites = {0},
  citedby = {0},
  pages = {279-287},
  booktitle = {Data Mining and Big Data, First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings},
  editor = {Ying Tan and Yuhui Shi},
  volume = {9714},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-40973-3},
}