Predictive model for criminality in Lisbon

V. Lobo; Fernando Bação; Paulo João

Predictive model for criminality in Lisbon

NOVA Information Management School (NOVA IMS)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper uses a combination of hot spotting analysis with a geographical information system based on SAS Enterprise Miner model, it also detail a forecasting framework for short-term, tactical deployment of police resources in which the objective is the identification of areas where the levels of crime are high enough to enable accurate predictive models to be produced.

Original language	English
Title of host publication	JOCLAD’2010 - XVII Jornadas de Classificação e Análise de Dados
Pages	1-13
Number of pages	13
Publication status	Published - 2010

Keywords

Crime Analyze, Data Mining, Geographic Information System, Neural Network, Hot-Spot, Predictive Model

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Cite this

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title = "Predictive model for criminality in Lisbon",

abstract = "This paper uses a combination of hot spotting analysis with a geographical information system based on SAS Enterprise Miner model, it also detail a forecasting framework for short-term, tactical deployment of police resources in which the objective is the identification of areas where the levels of crime are high enough to enable accurate predictive models to be produced.",

keywords = "Crime Analyze, Data Mining, Geographic Information System, Neural Network, Hot-Spot, Predictive Model",

author = "V. Lobo and Fernando Ba{\c c}{\~a}o and Paulo Jo{\~a}o",

year = "2010",

language = "English",

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booktitle = "JOCLAD{\textquoteright}2010 - XVII Jornadas de Classifica{\c c}{\~a}o e An{\'a}lise de Dados",

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AU - Lobo, V.

AU - Bação, Fernando

AU - João, Paulo

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AB - This paper uses a combination of hot spotting analysis with a geographical information system based on SAS Enterprise Miner model, it also detail a forecasting framework for short-term, tactical deployment of police resources in which the objective is the identification of areas where the levels of crime are high enough to enable accurate predictive models to be produced.

KW - Crime Analyze, Data Mining, Geographic Information System, Neural Network, Hot-Spot, Predictive Model

M3 - Conference contribution

SP - 1

EP - 13

BT - JOCLAD’2010 - XVII Jornadas de Classificação e Análise de Dados

ER -