Discernment of high Trafficking: Consitency Regions (Hotspot)


Authors : Gani Timothy Abe; Philemon Uten Emmoh; Oladunjoye John Abiodun

Volume/Issue : Volume 8 - 2023, Issue 4 - April

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3AFFUmC

The law enforcement agencies reaction to trafficking human activities remains unsatisfactory as many cases of trafficking are still under investigation in as much as the information available to law enforcement agencies is unreliable. about the locations as well as prevalence rate of such crime. This research centers on the development of an agglomerative clustering model using hierarchical clustering algorithm of unsupervised learning method to improve this process and identify hot spot(s) of trafficking in Nigeria. Data needed for the model formulation will be secondary data; dataset on human trafficking in the form of .csv file will be utilized. The approach of visualizing trafficking statistics and similarity measurements aid in the detection of trafficking hotspots. The results of an agglomerative clustering technique are dendrograms which are treelike structure that is easy to visualize compared with clusters of points presented by K-means clustering technique.

Keywords : Hotspot, Trafficking, Human trafficking, agglomerative, clustering model, dendrograms, k-means, law enforcement agency.

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