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Empirical and Experimental Insights into Data Mining Techniques for
  Crime Prediction: A Comprehensive Survey

Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey

17 February 2024
Kamal Taha
ArXivPDFHTML

Papers citing "Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey"

3 / 3 papers shown
Title
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime
  Forecasting
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
Chenyu Wang
Zongyu Lin
Xiaochen Yang
Jiao Sun
Mingxuan Yue
Cyrus Shahabi
AI4TS
71
28
0
27 Sep 2021
Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention
  by Using 3D Convolutional Neural Networks
Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks
Guillermo A. Martínez-Mascorro
J. R. Abreu-Pederzini
J. C. Ortíz-Bayliss
Hugo Terashima-Marín
13
15
0
30 Apr 2020
Crime Prediction Using Spatio-Temporal Data
Crime Prediction Using Spatio-Temporal Data
Sohrab Hossain
Ahmed Abtahee
Imran Kashem
M. M. Hoque
Iqbal H. Sarker
46
59
0
11 Mar 2020
1