A Prediction Model for Criminal Levels Specialized in Brazilian Cities

Marcelo Damasceno de Melo; Jerffeson Teixeira; Gustavo Campos

Global Security, Safety and Sustainability & e-Democracy. 7th International and 4th e-Democracy, Joint Conferences, ICGS3/e-Democracy 2011, Thessaloniki, Greece, August 24-26, 2011, Revised Selected Papers

Research Article

A Prediction Model for Criminal Levels Specialized in Brazilian Cities

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@INPROCEEDINGS{10.1007/978-3-642-33448-1_19,
    author={Marcelo Damasceno de Melo and Jerffeson Teixeira and Gustavo Campos},
    title={A Prediction Model for Criminal Levels Specialized in Brazilian Cities},
    proceedings={Global Security, Safety and Sustainability \& e-Democracy. 7th International and 4th e-Democracy, Joint Conferences, ICGS3/e-Democracy 2011, Thessaloniki, Greece, August 24-26, 2011, Revised Selected Papers},
    proceedings_a={ICGS3 \& E-DEMOCRACY},
    year={2012},
    month={10},
    keywords={Prediction Model Criminal Levels Data Mining Model Brazilian Crime Predicting Crime},
    doi={10.1007/978-3-642-33448-1_19}
}

Marcelo Damasceno de Melo
Jerffeson Teixeira
Gustavo Campos
Year: 2012
A Prediction Model for Criminal Levels Specialized in Brazilian Cities
ICGS3 & E-DEMOCRACY
Springer
DOI: 10.1007/978-3-642-33448-1_19

Marcelo Damasceno de Melo^,*, Jerffeson Teixeira¹^,*, Gustavo Campos¹^,*

1: Universidade Estadual do Ceará

*Contact email: marcelodamasceno@larces.uece.br, jeff@larces.uece.br, gustavo@larces.uece.br

Abstract

The increase in violence around the world is becoming a major problem, causing severe damages to society: material, social and physical ones. The Government needs effective tools to fight against crime, and therefore, some tools are necessary to assist in the prevention of further crimes, in the allocation of its resources and visualization of geographic areas with high crime concentrations.

Keywords: Prediction Model Criminal Levels Data Mining Model Brazilian Crime Predicting Crime

Published: 2012-10-08

: http://dx.doi.org/10.1007/978-3-642-33448-1_19