Detecting Criminal Behaviour Patterns in Spain and Italy Using Formal Concept Analysis

Rodríguez‐Jiménez, Jose Manuel

doi:10.1007/978-3-319-75608-0_5

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…• Pattern detection of criminal activities analyzing data from traffic cameras for Italian National Police, doing a comparison with previous patterns detected in Spain. 16 Since FCA is not developed to work with big data, some studies in partial databases detect some patterns in real data that fit with the proposed theoretical patterns.…”

Section: Previous Applications Of Fca In Police Researchmentioning

confidence: 97%

“…With the help of geolocalization tools, this research 14,15 supports the distribution of resources, such as police officers, patrolling cars, and surveillance cameras, as well as the definition of strategies for crime combat and prevention. Criminal networks analysis, 8 looking for specified data in Police reports, such as vehicle plate number or personal identification number, to locate and relate different suspects for criminal activities. Negative attributes were first used there. Pattern detection of criminal activities analyzing data from traffic cameras for Italian National Police, doing a comparison with previous patterns detected in Spain 16 . Since FCA is not developed to work with big data, some studies in partial databases detect some patterns in real data that fit with the proposed theoretical patterns.…”

Section: Previous Applications Of Fca In Police Researchmentioning

confidence: 99%

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Formal concept analysis with negative attributes for forgery detection

Ojeda‐Aciego

Rodríguez‐Jiménez

2020

Comp and Math Methods

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Europe's system of open frontiers, commonly known as "Schengen," let people from different countries travel and cross the inner frontiers without problems. Different documents from these countries, not only European, can be found in road checkpoints and there is no international database to help Police forces to detect whether they are false or not. People who need a driver license to access to specific jobs, or a new identity because of legal problems, often contact forgers who provide false documents with different levels of authenticity. Governments and Police Forces should improve their methodologies, by ensuring that staff is increasingly better able to detect false or falsified documents through their examination, and follow patterns to detect and situate these forgers. In this work, we propose a method, based in formal concept analysis using negative attributes, which allows Police forces analyzing false documents and provides a guide to enforce the detection of forgers.

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Section: Previous Applications Of Fca In Police Researchmentioning

confidence: 97%