Crime “hot-spots” identification and analysis in Hungary by computational intelligence

László T. Kóczy, Gábor Kovács, Péter Földesi, Szilvia Nagy, Boldizsár Tüű-Szabó, Gergő Fogarasi

Research output: Contribution to journalArticle

Abstract

In the constantly growing and widening field of forensic science, crime maps are used in versatile ways. The representation of the data and analysis could offer some steps toward crime prevention and helps understand patterns, in terms of a timely distribution of crime types. Clustering is able to help identify criminal hot-spots and additional analysis may determine which areas require intervention. The aim of this study is to present an analysis of criminal information related to Hungary, in annual and monthly breakdown.

Original languageEnglish
Pages (from-to)137-155
Number of pages19
JournalActa Polytechnica Hungarica
Volume16
Issue number10
DOIs
Publication statusPublished - Jan 1 2019

    Fingerprint

Keywords

  • Clustering
  • Crime hot-spots
  • Crime prevention
  • Forensic science
  • Fuzzy C-Means

ASJC Scopus subject areas

  • Engineering(all)

Cite this