[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Early Warning System Based on Data Mining to Identify Crime Patterns

  • Conference paper
  • First Online:
Data Mining and Big Data (DMBD 2019)

Abstract

The analysis of criminal information is critical for the purpose of preventing the occurrence of offenses, so the crime records committed in the past are analyzed including perpetrators. The main objective was to identify crime patterns in the city of Bogota, Colombia, supported using Early Warning System based on data mining (CRISP-DM method). The research results show the identification of 12 different criminal profiles demonstrating that the Early Warning System is applicable since it managed to significantly reduce the time devoted to the processes of registering complaints and searching for criminal profiles.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 35.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Green, W.J.: A History of Political Murder in Latin America: Killing the Messengers of Change. State University of New York Press, Albany (2015)

    Google Scholar 

  2. Jaramillo, J., Meisel, A., Ramírez, M.T.: More than 100 years of improvements in living standards: the case of Colombia. Cliometrica, October 2018. Online First

    Google Scholar 

  3. Karl, R.A.: Forgotten Peace: Reform, Violence, and the Making of Contemporary Colombia. University of California Press, Oakland (2017)

    Book  Google Scholar 

  4. Roskin, M.G.: Crime and politics in Colombia: considerations for US Involvement. Parameters: US Army War Coll. Q. 34(1), 126–134 (2001)

    Google Scholar 

  5. Santos Calderón, E.: El país que me tocó (Memorias). Penguin Random House Grupo Editorial (2018)

    Google Scholar 

  6. Calderón, M., Marconi, S.: Santuarios de la memoria: historias para la no repetición. Relatos de actos humanitarios en la vereda Beltrán y el municipio de Marsella, Risaralda (Tesis de Pregrado). Universidad Santo Tomás, Bogotá (2017)

    Google Scholar 

  7. Martínez, L.: Violencia y desplazamiento: Hacía una interpretación de carácter regional y local. El caso de Risaralda y su capital Pereira, en Revista Estudios Fronterizos, vol. 7, no. 14, julio–diciembre 2006

    Google Scholar 

  8. Martínez, S.: Núcleos urbanos y de frontera en el Centro Occidente Colombiano. Un proyecto de institucionalización del Estado Nación en el siglo XIX, en Americanía. Revista de Estudios Latinoamericanos. Nueva Época, no. 3, enero–junio 2016

    Google Scholar 

  9. Núñez, M.: Contexto de violencia y conflicto armado, Monografía Político Electoral del Departamento de Risaralda, 1997–2007. Misión de Observación Electoral, Corporación Nuevo Arcoiris, CERAC, Universidad de los Andes, Bogotá (2017)

    Google Scholar 

  10. Ovalle, L.: Memoria y codificación del dolor. Muertes violentas y desapariciones forzosas asociadas al narcotráfico en Baja California, en Revista de Estudios Fronterizos (2010)

    Google Scholar 

  11. Palacios, M.: Violencia púbica en Colombia 1958–2010. Fondo de Cultura Económica, Bogotá (2012)

    Google Scholar 

  12. Huber, S., Seiger, R., Kuhnert, A., Theodorou, V., Schlegel, T.: Goal-based semantic queries for dynamic processes in the Internet of Things. Int. J. Semant. Comput. 10(2), 269 (2016)

    Article  Google Scholar 

  13. Wirth, R., Hipp, J.: CRISP-DM: towards a standard process model for data mining. In: Proceedings of the 4th International Conference on the Practical Applications of Knowledge Discovery and Data Mining, pp. 29–39 (2000)

    Google Scholar 

  14. Merchan-Rojas, L.: Conducta Criminal: una Perspectiva Psicológica Basada en la Evidencia. Acta Colombiana De PsicologíA 22(1), 296–299 (2019)

    Article  Google Scholar 

  15. Azevedo, A.I.R.L., Santos, M.F.: KDD, SEMMA CRISP-DM: a parallel overview. IADS-DM (2008)

    Google Scholar 

  16. Vásquez, C., et al.: Cluster of the Latin American universities top100 according to webometrics 2017. In: Tan, Y., Shi, Y., Tang, Q. (eds.) DMBD 2018. LNCS, vol. 10943, pp. 276–283. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93803-5_26

    Chapter  Google Scholar 

  17. Viloria, A., Mercedes, G.-A.: Statistical adjustment module advanced optimizer planner and sap generated the case of a food production company. Indian J. Sci. Technol. 9(47), 1–5 (2016)

    Google Scholar 

  18. Varela, I.N., Cabrera, H.R., Lopez, C.G., Viloria, A., Gaitán, A.M., Henry, M.A.: Methodology for the reduction and integration of data in the performance measurement of industries cement plants. In: Tan, Y., Shi, Y., Tang, Q. (eds.) DMBD 2018. LNCS, vol. 10943, pp. 33–42. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93803-5_4

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jesús Silva .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Silva, J. et al. (2019). Early Warning System Based on Data Mining to Identify Crime Patterns. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. DMBD 2019. Communications in Computer and Information Science, vol 1071. Springer, Singapore. https://doi.org/10.1007/978-981-32-9563-6_27

Download citation

  • DOI: https://doi.org/10.1007/978-981-32-9563-6_27

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9562-9

  • Online ISBN: 978-981-32-9563-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics