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Data mining and visualization techniques show their value in various domains but have not been broadly applied to the study of crime, which is in demand of an instrument to efficiently and effectively analyze available data. The purpose of this study is to apply the Self-Orgamizing Map (SOM) to mapping countries with different situations of socio-economic(More)
The aim of this article is to inquire about correlations between criminal phenomena and demographic factors. This international-level comparative study used a dataset covering 56 countries and 28 attributes. The data were processed with the Self-Organizing Map (SOM), assisted other clustering methods, and several statistical methods for obtaining comparable(More)
Modern research on criminal phenomena has been revolving not only around preventing existing offenses, but also around analyzing the criminal phenomena as a whole so as to overcome potential happenings of similar incidents. Criminologists and international law enforcement have been attracted to the cause of examining demographic context on which a crime is(More)
The aim of this article is to inquire about potential relationship between change of crime rates and change of gross domestic product (GDP) growth rate, based on historical statistics of Japan. This national-level study used a dataset covering 88 years (1926–2013) and 13 attributes. The data were processed with the self-organizing map (SOM), separation(More)
Contemporary conception of information has been studied for decades. Starting from legal viewpoint, purpose of this article is to provide methodological understanding of the conception and classification of information in the domain of law, and the challenge it poses to the traditional legal system. In this article, information is classified into five(More)