Myosotis

Ferreira, Raul Sena; Oliveira, Carlos Gomes de; Lima, Alexandre A. B.

doi:10.1145/3229345.3229379

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…Missing persons is a problem that all countries should embark on, "According to estimates from the Federal Government, 200,000 people disappear from their homes every year in Brazil" [1] and "Every year an estimated 200,000 people go missing in the UK" [2]. Examples like above keep repeating in several countries all over the world, in order to tackle it several organizations try to centralize and make available to the public pictures and information of missing ones; in the United States this data is mainly provided by the FBI and organizations like NameUs (National Missing and Unidentified Persons System) and The National Center for Missing & Exploited Children, in the worldwide context, it can be found the ICMP(International Commission on Missing Persons) and the LOST(Learning Opportunities, inStruments and Investigation Techniques to fight the growing phenomenon of missing person in Europe) projects.…”

Section: Introductionmentioning

confidence: 99%

Computational Model to Support the Detection of Profiles of Missing Person in Colombia.

Agudelo

Herrera‐Viedma

Gaona-García

2021

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In the world and some countries like Colombia, the number of missing person is a phenome very worrying and growing, every year, thousands of people are reported missing all over the world, the fact that this keeps happening might indicate that there are still analyses that have not been done and tools that have not been considered in order to find patterns in the information of missing person. The present article presents a study of the way informatics and computational tools can be used to help find missing person and what patterns can be found in missing person datasets using as a study case open data about missing person in Colombia in 2017. The goal of this study is to review how computational tools like data mining and image analysis can be used to help find missing person and draw patterns in the available information about missing person. For this, first it will be review of the state of art of image analysis in real world applications was made in order to explore the possibilities when studying the photos of missing person, then a data mining process with data of missing person in Colombia was conducted to produce a set of decision rules that can explain the cause of the disappearance, as a result is generated decision rules algorithm suggest links between socioeconomic stratification, age, gender and specific locations of Colombia and the missing person reports. In conclusion, this work reviews what information about missing person is available publicly and what analysis can me made with them, showing that data mining and face recognition can be useful tools to extract patterns and identify patterns in missing person data.

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Section: Introductionmentioning

confidence: 99%