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Crime Analysis

Strategic Security Management, 2019
Karim Vellani
semanticscholar   +2 more sources

Three Decades of GIS Application in Spatial Crime Analysis: Present Global Status and Emerging Trends

Professional Geographer, 2023
Crime exploration using geographic information systems (GIS) has been a topic of interest for decades, but a comprehensive appraisal has yet to be published in the domain. This is the first article to thoroughly explain crime exploration using GIS from a
Subham Roy, I. Chowdhury
semanticscholar   +1 more source

Analysis of Crime

SSRN Electronic Journal, 2021
Crime analysis and preventing is a viewpoint for analyzing and identifying trends and patterns in crime. Dawn the day of computerized systems, analysts may help the vigilant officials speeding up the process of criminal activities. With the help of data mining extracting previous useful information from an unstructured unknown data. Solving criminal
Shraddha Reddy P, Mohan Rao K, Nikhila K
openaire   +1 more source

Investigating Crime Pattern Stability at Micro-Temporal Intervals: Implications for Crime Analysis and Hotspot Policing Strategies

, 2021
Studies of crime hotspot forecasts use various metrics to describe different characteristics of prediction patterns. However, few investigations consider how the stability of crime hotspot, estimated at relatively short temporal intervals, can impact ...
T. Hart
semanticscholar   +1 more source

Crime Analysis and Prediction using Optimized K-Means Algorithm

International Conference Computing Methodologies and Communication, 2020
In India, the crime rate is increasing each day. In the current situation, recent technological influence, effects of social media and modern approaches help the offenders to achieve their crimes.
S. G. Krishnendu   +2 more
semanticscholar   +1 more source

Crime Analysis and Prediction using Machine Learning

International Convention on Information and Communication Technology, Electronics and Microelectronics, 2020
Data mining and machine learning have become a vital part of crime detection and prevention. The purpose of this paper is to evaluate data mining methods and their performances that can be used for analyzing the collected data about the past crimes.
Olta Llaha
semanticscholar   +1 more source

Crime Analysis Mapping, Intrusion Detection - Using Data Mining

2020 IEEE Technology & Engineering Management Conference (TEMSCON), 2020
Data Mining plays a key role in Crime Analysis. There are many different algorithms mentioned in previous research papers, among them are the virtual identifier, pruning strategy, support vector machines, and apriori algorithms.
Biswajit Panja   +2 more
semanticscholar   +1 more source

Aoristic crime analysis

International Journal of Geographical Information Science, 1998
Crime pattern analysis has tended to focus on 'hotspot' analysis techniques; the identification of areas with higher densities of criminal activity. This paper documents a different approach to determination of hotspots and aims to present a conceptual framework for the temporal analysis of aoristic crime data.
Jerry H. Ratcliffe, Michael J. McCullagh
openaire   +1 more source

Hot spots policing and crime reduction: an update of an ongoing systematic review and meta-analysis

Journal of Experimental Criminology, 2019
Anthony Braga   +2 more
exaly   +2 more sources

Crime Analysis and Prediction Using Fuzzy C-Means Algorithm

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 2019
Crime analysis is methodological approach for identify the crime areas. The crime areas are mainly based on the crime type these identified crime areas are helpful to reduce the crime rate. This can be very easy to identify the crime areas, based on this
B. Sivanagaleela, S. Rajesh
semanticscholar   +1 more source

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