journal article·2019Open access

Quantitative Analysis Of Crime Incidents In Chicago Using Data Analytics Techniques

Daniel Rivera Ruiz, Alisha Sawant

Computers, Materials & Continua· Volume 59· Issue 2

Abstract

In this paper we aim to identify certain social factors that influence, and thus can be used to predict, the occurrence of crimes. The factors under consideration for this analytic are social demographics such as age, sex, poverty, etc., train ridership, traffic density and the number of business licenses per community area in Chicago, IL. A factor will be considered pertinent if there is high correlation between it and the number of crimes of a particular type in that community area.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Crime Patterns and Interventions · Multidisciplinary Science and Engineering Research

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References

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