Analytical Model of Recommendations for the Mitigation of Theft Risks

Juan Camilo Montaña; Enrique Gonzalez

doi:10.1007/978-3-031-19951-6_3

Analytical Model of Recommendations for the Mitigation of Theft Risks

Juan Camilo Montaña, Enrique Gonzalez

Departamento de Ingeniería de Sistemas

Universidad Javeriana

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

Crime rates around the world are constantly increasing, and the crime of theft is one of those that most affects the population. This type of crime has occurrences and patterns in certain places and periods. This article presents an analytical model that allows generating recommendations to mitigate the risk of being a victim of this crime. The model is responsible for preprocessing the data, performing fuzzy partitioning, generating frequent patterns, and creating fuzzy association rules to generate recommendations. The model was applied to the case study associated with the area with the highest theft crimes rate in Bogotá.

Idioma original	Inglés
Título de la publicación alojada	Advances in Computing - 15th Colombian Congress, CCC 2021, Revised Selected Papers
Editores	Enrique Gonzalez, Mariela Curiel, Andrés Moreno, Angela Carrillo-Ramos, Rafael Páez, Leonardo Flórez-Valencia
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	31-45
Número de páginas	15
ISBN (versión impresa)	9783031199509
DOI	https://doi.org/10.1007/978-3-031-19951-6_3
Estado	Publicada - 2022
Evento	15th Colombian Congress on Advances in Computing, CCC 2021 - Bogota, Colombia Duración: 22 nov. 2021 → 26 nov. 2021

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1594 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	15th Colombian Congress on Advances in Computing, CCC 2021
País/Territorio	Colombia
Ciudad	Bogota
Período	22/11/21 → 26/11/21

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-031-19951-6_3

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Montaña, J. C., & Gonzalez, E. (2022). Analytical Model of Recommendations for the Mitigation of Theft Risks. En E. Gonzalez, M. Curiel, A. Moreno, A. Carrillo-Ramos, R. Páez, & L. Flórez-Valencia (Eds.), Advances in Computing - 15th Colombian Congress, CCC 2021, Revised Selected Papers (pp. 31-45). (Communications in Computer and Information Science; Vol. 1594 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-19951-6_3

Montaña, Juan Camilo ; Gonzalez, Enrique. / Analytical Model of Recommendations for the Mitigation of Theft Risks. Advances in Computing - 15th Colombian Congress, CCC 2021, Revised Selected Papers. editor / Enrique Gonzalez ; Mariela Curiel ; Andrés Moreno ; Angela Carrillo-Ramos ; Rafael Páez ; Leonardo Flórez-Valencia. Springer Science and Business Media Deutschland GmbH, 2022. pp. 31-45 (Communications in Computer and Information Science).

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title = "Analytical Model of Recommendations for the Mitigation of Theft Risks",

abstract = "Crime rates around the world are constantly increasing, and the crime of theft is one of those that most affects the population. This type of crime has occurrences and patterns in certain places and periods. This article presents an analytical model that allows generating recommendations to mitigate the risk of being a victim of this crime. The model is responsible for preprocessing the data, performing fuzzy partitioning, generating frequent patterns, and creating fuzzy association rules to generate recommendations. The model was applied to the case study associated with the area with the highest theft crimes rate in Bogot{\'a}.",

keywords = "Association rules, Fuzzy partitioning, Recommendations model, Theft risk",

author = "Monta{\~n}a, {Juan Camilo} and Enrique Gonzalez",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 15th Colombian Congress on Advances in Computing, CCC 2021 ; Conference date: 22-11-2021 Through 26-11-2021",

year = "2022",

doi = "10.1007/978-3-031-19951-6_3",

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Montaña, JC & Gonzalez, E 2022, Analytical Model of Recommendations for the Mitigation of Theft Risks. En E Gonzalez, M Curiel, A Moreno, A Carrillo-Ramos, R Páez & L Flórez-Valencia (eds.), Advances in Computing - 15th Colombian Congress, CCC 2021, Revised Selected Papers. Communications in Computer and Information Science, vol. 1594 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 31-45, 15th Colombian Congress on Advances in Computing, CCC 2021, Bogota, Colombia, 22/11/21. https://doi.org/10.1007/978-3-031-19951-6_3

Analytical Model of Recommendations for the Mitigation of Theft Risks. / Montaña, Juan Camilo; Gonzalez, Enrique.
Advances in Computing - 15th Colombian Congress, CCC 2021, Revised Selected Papers. ed. / Enrique Gonzalez; Mariela Curiel; Andrés Moreno; Angela Carrillo-Ramos; Rafael Páez; Leonardo Flórez-Valencia. Springer Science and Business Media Deutschland GmbH, 2022. p. 31-45 (Communications in Computer and Information Science; Vol. 1594 CCIS).

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Gonzalez, Enrique

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N2 - Crime rates around the world are constantly increasing, and the crime of theft is one of those that most affects the population. This type of crime has occurrences and patterns in certain places and periods. This article presents an analytical model that allows generating recommendations to mitigate the risk of being a victim of this crime. The model is responsible for preprocessing the data, performing fuzzy partitioning, generating frequent patterns, and creating fuzzy association rules to generate recommendations. The model was applied to the case study associated with the area with the highest theft crimes rate in Bogotá.

AB - Crime rates around the world are constantly increasing, and the crime of theft is one of those that most affects the population. This type of crime has occurrences and patterns in certain places and periods. This article presents an analytical model that allows generating recommendations to mitigate the risk of being a victim of this crime. The model is responsible for preprocessing the data, performing fuzzy partitioning, generating frequent patterns, and creating fuzzy association rules to generate recommendations. The model was applied to the case study associated with the area with the highest theft crimes rate in Bogotá.

KW - Association rules

KW - Fuzzy partitioning

KW - Recommendations model

KW - Theft risk

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U2 - 10.1007/978-3-031-19951-6_3

DO - 10.1007/978-3-031-19951-6_3

M3 - Conference contribution

AN - SCOPUS:85142679888

SN - 9783031199509

T3 - Communications in Computer and Information Science

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BT - Advances in Computing - 15th Colombian Congress, CCC 2021, Revised Selected Papers

A2 - Gonzalez, Enrique

A2 - Curiel, Mariela

A2 - Moreno, Andrés

A2 - Carrillo-Ramos, Angela

A2 - Páez, Rafael

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PB - Springer Science and Business Media Deutschland GmbH

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Montaña JC, Gonzalez E. Analytical Model of Recommendations for the Mitigation of Theft Risks. En Gonzalez E, Curiel M, Moreno A, Carrillo-Ramos A, Páez R, Flórez-Valencia L, editores, Advances in Computing - 15th Colombian Congress, CCC 2021, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 31-45. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-19951-6_3

Analytical Model of Recommendations for the Mitigation of Theft Risks

Resumen

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