Crime analysis and prevention is a systematic approach for identifying and analyzing patterns and trends in crime. Our system can predict regions which have high probability for crime occurrence and can visualize crime prone areas. With the increasing advent of computerized systems, crime data analysts can help the Law enforcement officers to speed up the process of solving crimes. About 10% of...

Accurate estimation of the change in crime over time is a critical first step towards better understanding public safety large urban environments. Bayesian hierarchical modeling natural way to study spatial variation dynamics at neighborhood level, since it facilitates principled sharing information between spatially adjacent neighborhoods. Typically, however, cities contain many physical and s...

Supporting crime news investigation involves a mechanism to help monitor the current and past status of criminal events. We believe this could be well facilitated by focusing on the user interfaces and the event crime model aspects. In this paper we discuss on a development of Visual Interactive Malaysia Crime News Retrieval System (i-JEN) and describe the approach, user studies and planned, th...

The Sustainable Development Goals (SDGs) are a blueprint for improving the human life quality. Goal 16 (G16) is related to security, and it in line with Universal Declaration of Human Rights Preamble 1945 Constitution. To support implementation G16 achievement, Indonesian National Police (Polri) has made serious efforts provide sense safety community minimize crime rates. One that could be map ...

Crime scientists have long known that crime clusters near certain places such as drinking establishments, although the spatial parameters of that clustering are less established. This article proposes a methodology to estimate a distance beyond which there is significantly less evidence of a correlation between locations and concentrations of crime. The technique uses changepoints derived from ...

We analyze criminal careers through crime nature, frequency, duration and severity. We propose a tool that yields a visual clustering of these criminal careers, enabling the identification of classes of criminals.

Fluctuation scaling relationships have been observed in a wide range of processes ranging from internet router traffic to measles cases. Taylor's law is one such scaling relationship and has been widely applied in ecology to understand communities including trees, birds, human populations, and insects. We show that monthly crime reports in the UK show complex fluctuation scaling which can be ap...

Eck et. al. in their article in [1] has proposed an approach to use K-means [2] clustering algorithm to cluster crime hot spots. Oliver et. al. in [3, 4] has argued that in places with low crime density KMR is a better alternative for law enforcement agencies than [1]. In this research we are interested in finding out the following questions: 1. At what crime hotspot density Oliver et. al.'s [4...