[Research paper] formalizing interruptible algorithms for human over-the-loop analytics

Austin Graham, Yan Liang, Le Gruenwald, Christan Grant. [Research paper] formalizing interruptible algorithms for human over-the-loop analytics. In Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo A. Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda, editors, 2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017. pages 4378-4383, IEEE, 2017. [doi]

@inproceedings{GrahamLGG17,
  title = {[Research paper] formalizing interruptible algorithms for human over-the-loop analytics},
  author = {Austin Graham and Yan Liang and Le Gruenwald and Christan Grant},
  year = {2017},
  doi = {10.1109/BigData.2017.8258469},
  url = {https://doi.org/10.1109/BigData.2017.8258469},
  researchr = {https://researchr.org/publication/GrahamLGG17},
  cites = {0},
  citedby = {0},
  pages = {4378-4383},
  booktitle = {2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017},
  editor = {Jian-Yun Nie and Zoran Obradovic and Toyotaro Suzumura and Rumi Ghosh and Raghunath Nambiar and Chonggang Wang and Hui Zang and Ricardo A. Baeza-Yates and Xiaohua Hu and Jeremy Kepner and Alfredo Cuzzocrea and Jian Tang and Masashi Toyoda},
  publisher = {IEEE},
  isbn = {978-1-5386-2715-0},
}