A proposal of web data mining application for mapping crime areas in the Czech Republic

摘要

In this paper, authors offer a new view on the issue of the geography of crime areas. The paper proposes an interface to support the decision-making process in the reasonable time. The proposed application is used to extract crime related information, find crime hotspots and present crime trends using web data mining techniques. The target area is the sum of all administrative districts of municipalities with extended powers in the Czech Republic. Every crime problem is related to some location, whether it is an address, street or district. The proposed application scans the selected mass media servers for the words connected with the crime type and the concrete municipality. This paper shows the detailed overview about the proposed and used architecture, methods and data structures.