São Paulo City Homicides and Their Surroundings: from Non-Negative Tensor Factorization to Pattern Identification

Autores

  • Jaqueline Silveira
  • Sérgio Adorno
  • Marcelo Nery
  • Germain García
  • Afonso Paiva
  • Luis Gustavo Nonato

Resumo

The type and pattern of crimes change considerably around São Paulo city, presenting regions where crimes occur with great frequency and are typically accompanied by gratuitous violence. Understanding the relationship between homicides and the characteristics of each region has long been a topic of research interest [5]. [...]

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Biografia do Autor

Jaqueline Silveira

NEV, University of São Paulo, São Paulo, SP, Brazil
Germain

Sérgio Adorno

NEV, University of São Paulo, São Paulo, SP, Brazil

Marcelo Nery

NEV, University of São Paulo, São Paulo, SP, Brazil

Germain García

Universidad Católica San Pablo de Arequipa

Afonso Paiva

ICMC, University of São Paulo, São Carlos, SP, Brazil

Luis Gustavo Nonato

ICMC, University of São Paulo, São Carlos, SP, Brazil

Referências

Joel M. Caplan and Leslie W. Kennedy. Risk terrain modeling manual: Theoretical framework and technical steps of spatial risk assessment for crime analysis. Rutgers Center on Public Security, 2010.

Laetitia Gauvin, André Panisson, and Ciro Cattuto. “Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach”. In: PloS one 9.1 (2014), e86028.

Andres Gomez-Lievano, HyeJin Youn, and Luis MA Bettencourt. “The statistics of urban scaling and their connection to Zipf’s law”. In: PloS one 7.7 (2012), e40393.

Yong-Deok Kim and Seungjin Choi. “Nonnegative Tucker Decomposition”. In: IEEE CVPR. 2007, pp. 1–8.

Silas Nogueira de Melo, Lindon Fonseca Matias, and Martin A. Andresen. “Crime concentrations and similarities in spatial crime patterns in a Brazilian context”. In: Applied Geography 62 (2015), pp. 314–324.

Marcelo Nery, Altay Lino de Souza, and Sérgio Adorno. “Os padrões urbano-demográficos da capital paulista”. In: Estudos Avançados 33 (Dec. 2019), pp. 5–36. doi: 10.1590/s0103- 4014.2019.3397.002.

Hieu Nguyen and Kiran Garimella. “Understanding International Migration using Tensor Factorization”. In: arXiv preprint:1702.04996 (2017).

S Saritha and G Santhosh Kumar. “An Incremental Boolean Tensor Factorization approach to model Change Patterns of Objects in Images”. In: arXiv preprint:1803.08696 (2018).

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Publicado

2022-12-08

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