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PROJECT

Analytical crime prediction model

In order to find ways to exploit historical data to generate a better understanding of the dynamics of crime (homicides) in Bogota, we implemented a novel predictive model.

Approach

In this paper we have introduced a novel methodology for predicting low-frequency crime events such as homicides, using information obtained from a graph structure, which is constructed with spatio-temporal data. The proposed methodology is largely based on spectral filtering from graph signal processing theory, which allows the precise definition of a Laplacian or Gaussian boundary detection filter operating on graph domains.

Results

The results derived from the proposed methodology were presented to the Secretariat of Security, Coexistence and Justice, and were as follows:

  • Suggested police patrolling by quadrants. Periodic updates.
  • Optimal location of cameras.  
  • Suggested location of police stations.
“ It is the glory of science to be of no use…[its true aim]… is to honor of the human spirit ”
Carl Gustav Jacobi
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Niels Bohr
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Scarf
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Prager
“ In truth mathematics can be called the Pleasure Garden of the myriad forms, the Erudite Ocean of Hundred Schools of Philosophy ”
Xu Guangpi
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G. Box
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G. Box
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R. Feynman
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Eugene Wigne
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Eddington
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David Hume
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D. Hilbert
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Courant
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Codorcet
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Bertrand Russell
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Bertram Kostant
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B.Greene
“ Mathematics is like sexual pleasure, orgasm, only lasting longer ”
André Weil
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A. Einstein
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A. Einstein
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