Crime Analysis of Chicago
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Authors
Wang, Shuai
Li, Weifeng
Issue Date
2016-04-01
Type
Presentation
Language
en_US
Keywords
Crime , Chicago , Big data , Data analysis , Hadoop
Alternative Title
Abstract
Security status in the place where we are live is one of the most important concerns for every individual. As most people may know, to evaluate the security status, criminal rate cannot be overlooked. Many factors can influence the occurrence of crimes including time, places, the construction of population, educational level, income level and so on. Nowadays, using modern technology such as Hadoop to process large volume of crime dataset, analyze the relationship between crime rate and the related factors and predict the happen of crime are getting more and more popular. In this project, using Hadoop ecosystem and related technologies, we choose crimes dataset of Chicago from 2001 to present to analyze the relationships between the occurrence of crimes and several key factors.