Modeling Temporal-Spatial Correlation for Crime Prediction

  • Journal/Conference Proceedings
    Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM2017)
  • Publication Time
    2017
  • Authors
    Xiangyu Zhao, and Jiliang Tang
We exploit temporal-spatial correlations in urban data for crime prediction. In particular, we validate the existence of temporal-spatial correlations in crime and develop a principled approach to model these correlations into the coherent framework TCP for crime prediction.