CrimeForecaster: Crime Prediction by Exploiting the Geographical Neighborhoods' Spatiotemporal Dependencies

Cite

Text

Sun et al. "CrimeForecaster: Crime Prediction by Exploiting the Geographical Neighborhoods' Spatiotemporal Dependencies." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. doi:10.1007/978-3-030-67670-4_4

Markdown

[Sun et al. "CrimeForecaster: Crime Prediction by Exploiting the Geographical Neighborhoods' Spatiotemporal Dependencies." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020.](https://mlanthology.org/ecmlpkdd/2020/sun2020ecmlpkdd-crimeforecaster/) doi:10.1007/978-3-030-67670-4_4

BibTeX

@inproceedings{sun2020ecmlpkdd-crimeforecaster,
  title     = {{CrimeForecaster: Crime Prediction by Exploiting the Geographical Neighborhoods' Spatiotemporal Dependencies}},
  author    = {Sun, Jiao and Yue, Mingxuan and Lin, Zongyu and Yang, Xiaochen and Nocera, Luciano and Kahn, Gabriel and Shahabi, Cyrus},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2020},
  pages     = {52-67},
  doi       = {10.1007/978-3-030-67670-4_4},
  url       = {https://mlanthology.org/ecmlpkdd/2020/sun2020ecmlpkdd-crimeforecaster/}
}