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2018 | OriginalPaper | Buchkapitel

Big Data Analytics to Improve the Decision-Making Process in Public Safety: A Case Study in Northeast Brazil

verfasst von : Jean Gomes Turet, Ana Paula Cabral Seixas Costa

Erschienen in: Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

Verlag: Springer International Publishing

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Abstract

The concern about national security has increased over the years. The large number of crimes has brought a variety of serious problems to Brazil and other countries around the world. Therefore, the major challenge, especially in Brazil, faced by public safety is how best to analyze large amounts of data so as to identify the factors that influence how crimes evolve. Thus, this paper analyzes public safety in the northeast of Brazil and proposes a decision-making model based on Big Data Analytics. This model is a part of a framework that will support decision processes by identifying the most dangerous places based on correlating data on location and the number of crimes from a large volume of crime data.

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Titel: Big Data Analytics to Improve the Decision-Making Process in Public Safety: A Case Study in Northeast Brazil
verfasst von: Jean Gomes Turet
Ana Paula Cabral Seixas Costa
Verlag: Springer International Publishing
Buch: Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support
Print ISBN: 978-3-319-90314-9

Electronic ISBN: 978-3-319-90315-6

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-90315-6_7

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