An Unsupervised Density Based Clustering Algorithm to Detect Election Anomalies : Evidence from Georgia's Largest County

Khurram Yamin, Matthew Oswald, Nima Jadali, Yao Xie 0002, Ellen Zegura, Dima Nazzal. An Unsupervised Density Based Clustering Algorithm to Detect Election Anomalies : Evidence from Georgia's Largest County. In Engineer Bainomugisha, Waylon Brunette, Nicola Dell, Amit Sharma 0007, editors, COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022 - 1 July 2022. pages 313-323, ACM, 2022. [doi]

@inproceedings{YaminOJ0ZN22,
  title = {An Unsupervised Density Based Clustering Algorithm to Detect Election Anomalies : Evidence from Georgia's Largest County},
  author = {Khurram Yamin and Matthew Oswald and Nima Jadali and Yao Xie 0002 and Ellen Zegura and Dima Nazzal},
  year = {2022},
  doi = {10.1145/3530190.3534799},
  url = {https://doi.org/10.1145/3530190.3534799},
  researchr = {https://researchr.org/publication/YaminOJ0ZN22},
  cites = {0},
  citedby = {0},
  pages = {313-323},
  booktitle = {COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022 - 1 July 2022},
  editor = {Engineer Bainomugisha and Waylon Brunette and Nicola Dell and Amit Sharma 0007},
  publisher = {ACM},
  isbn = {978-1-4503-9347-8},
}