Machine Learning Meets Crime Prevention: A Stacked Generalization Approach for Identifying High-Risk Zones

Author:

G Sri Aswin kumar,Narasapuram Penchalaiah,V Vishnu Varma,Putha Vishnu Vardhan Redddy,M Venkata Nagarjuna Reddy

Publisher

Elsevier BV

Reference20 articles.

1. Using geographically weighted regression to explore local crime patterns;M Cahill;Social Sci. Comput. Rev,2007

2. Risk terrain modeling: Brokering criminological theory and GIS methods for crime forecasting;J M Caplan;Justice Quart,2011

3. Language usage on Twitter predicts crime rates;A Almehmadi;Proc. 10th Int. Conf. Secur. Inf. Netw,2017

4. Deprivation, violence, and conflict: An analysis of Naxalite activity in the districts of India;V K Borooah;Int. J. Conf. Violence,2008

5. Improved method of classification algorithms for crime prediction;A Babakura;Proc. Int. Symp,2014

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