Crime analytics: Analysis of crimes through newspaper articles

I. Jayaweera, Chamath Sajeewa, Sampath Liyanage, Tharindu Wijewardane, I. Perera, A. Wijayasiri
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引用次数: 26

Abstract

Crime analysis is one of the most important activities of the majority of the intelligent and law enforcement organizations all over the world. Generally they collect domestic and foreign crime related data (intelligence) to prevent future attacks and utilize a limited number of law enforcement resources in an optimum manner. A major challenge faced by most of the law enforcement and intelligence organizations is efficiently and accurately analyzing the growing volumes of crime related data. The vast geographical diversity and the complexity of crime patterns have made the analyzing and recording of crime data more difficult. Data mining is a powerful tool that can be used effectively for analyzing large databases and deriving important analytical results. This paper presents an intelligent crime analysis system which is designed to overcome the above mentioned problems. The proposed system is a web-based system which comprises of crime analysis techniques such as hotspot detection, crime comparison and crime pattern visualization. The proposed system consists of a rich and simplified environment that can be used effectively for processes of crime analysis.
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犯罪分析:通过报纸文章对犯罪进行分析
犯罪分析是世界上大多数情报和执法机构最重要的活动之一。一般来说,他们收集国内外犯罪相关数据(情报),以防止未来的攻击,并以最佳方式利用有限的执法资源。大多数执法和情报组织面临的一个主要挑战是有效和准确地分析越来越多的与犯罪有关的数据。巨大的地域多样性和犯罪形态的复杂性使得犯罪数据的分析和记录更加困难。数据挖掘是一种强大的工具,可以有效地用于分析大型数据库并获得重要的分析结果。针对上述问题,本文提出了一种智能犯罪分析系统。该系统是一个基于网络的犯罪分析系统,采用了热点探测、犯罪对比和犯罪模式可视化等犯罪分析技术。所建议的系统包括一个丰富和简化的环境,可以有效地用于犯罪分析过程。
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