Causal feature selection for physical sensing data: a case study on power events prediction

Miao He, Weixi Gu, Yuxun Zhou, Ying Kong, Lin Zhang. Causal feature selection for physical sensing data: a case study on power events prediction. In Robert Harle, Katayoun Farrahi, Nicholas Lane, editors, Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019. pages 565-570, ACM, 2019. [doi]

@inproceedings{HeGZKZ19,
  title = {Causal feature selection for physical sensing data: a case study on power events prediction},
  author = {Miao He and Weixi Gu and Yuxun Zhou and Ying Kong and Lin Zhang},
  year = {2019},
  doi = {10.1145/3341162.3349333},
  url = {https://doi.org/10.1145/3341162.3349333},
  researchr = {https://researchr.org/publication/HeGZKZ19},
  cites = {0},
  citedby = {0},
  pages = {565-570},
  booktitle = {Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019},
  editor = {Robert Harle and Katayoun Farrahi and Nicholas Lane},
  publisher = {ACM},
  isbn = {978-1-4503-6869-8},
}