There are 2 repositories under crime-data-analysis topic.
Amber Heard Social Network Analysis of Disinformation/Influence Operations, Bots, & Crime Across-Platforms. - Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, Tumblr, TikTok. To create Foundations to Help victims of bots, cyberabuse, domestic abuse, coercive control, crime, & disinformation operations. We want to Save Lives & help partners create systems to help online - including specialized and accurate rescue, quality custom, data analysis, social network analysis, forensics, research, and public safety technologies - with focus on the victim primarily & her environment.
Exploratory data analysis on New York Crime Complaint Data
This is a comprehensive guide to using the FBI's Uniform Crime (UCR) Reporting Program Data, a collection of crime and arrest datasets which are often referred to as UCR data.
CrimeEye is a web application that enables users to view and report crime incidents in real-time.
This tool is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. It implements an analyzer and visualizer specialized for criminal (social) network analysis, including community detection, social influence analysis, and link prediction.
This repository contains project materials for the Fall 2023 MGT 256 class. This project is completed with assists from Professor Adem Orsdemir.
Processes raw data from the FBI Crime Data Explorer (CDE), preparing it for analysis in interactive dashboards. Click on my link below to see metrics and trends for crimes such as Human Trafficking and Cargo Theft.
This repository is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. This repository implements inductive link prediction in criminal network analysis, focusing on finding links between new cases and existing nodes.
Visualising Crime Data in India.
Hack 4 LA: City of Los Angele's Crime and Arrest Data Project
Python module for searching common interests in suspects lists
This Crime Reporting System is in PHP, CSS, JavaScript. The user (victims) can submit their complaints, while the officers can manage the complaints of all users who have submitted the complaints.
This project is intended to find two things: 1) how crime rate at a particular neighborhood influences the listing price of Airbnb. 2) how safe a neighborhood is where the Airbnb listing is located
Exploratory Data Analysis in Chicago crimes data (2019-2022)
A Python project that uses advanced AI models (e.g., Llama 3.2) to analyze crime data, predict future trends, and visualize insights on interactive maps. Built with pandas and folium, this tool helps identify crime hotspots, validate predictions against historical data, and generate actionable insights for law enforcement.
Analysing UK crime data available on https://data.police.uk/data/ in West Midlands using geopandas
This repo contains a regression analysis of crime rates in the Boston area.
EDA project for Crime Data Analysis for LAPD
Analysing the effects of COVID-19 on crimes in San Francisco, California
In this project, me and my two other members analyse state anxiety in crime perception using a replicated crime dataset. It explores demographic variations in anxiety levels, performs statistical tests (Z-tests, chi-square tests) and applies correlation analysis and PCA. The study compares anxiety between England and Scotland.
Identified trends in Major Crime Indicators data to recommend crime reduction strategies.
AI-Tool to automate detection and reporting of incidents related to street crime and violence based on live CCTV feeds | KAVACH'23
A Shiny application that lets you create and customize graphs and tables from Swedish crime data (1973-2017)
Trains a ML regression model with data from the FBI Crime Data Explorer (CDE), for predicting crimes such as Cargo Theft.
This project aims to perform topic modeling on a dataset of crime-related news articles in New York City using **Latent Dirichlet Allocation (LDA) and Mallet's LDA Model. The articles were collected over a two-month period through continuous querying using the News API.
This project aims to perform topic modeling on a dataset of crime-related news articles in New York City using **Latent Dirichlet Allocation (LDA) and Mallet's LDA Model. The articles were collected over a two-month period through continuous querying using the News API.