Abstract
This paper shows how fuzzy formal concept analysis can be applied to a real crimes dataset in order to extract patterns and knowledge from it. Different concepts and attribute implications have been selected and interpreted obtaining interesting consequences.
Partially supported by the 2014–2020 ERDF Operational Programme in collaboration with the State Research Agency (AEI) in projects TIN2016-76653-P and PID2019-108991GB-I00, and with the Department of Economy, Knowledge, Business and University of the Regional Government of Andalusia. in project FEDER-UCA18-108612, and by the European Cooperation in Science & Technology (COST) Action CA17124.
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Aragón, R.G., Cornejo, M.E., Medina, J., Ramírez-Poussa, E., Rubio-Manzano, C. (2022). Formal Concept Analysis for Detecting Criminal Patterns. In: Harmati, I.Á., Kóczy, L.T., Medina, J., Ramírez-Poussa, E. (eds) Computational Intelligence and Mathematics for Tackling Complex Problems 3. Studies in Computational Intelligence, vol 959. Springer, Cham. https://doi.org/10.1007/978-3-030-74970-5_23
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