Quantitative Analysis of Crime Incidents in Chicago Using Data Analytics Techniques

• 作者: Alisha Sawant Daniel Rivera Ruiz
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 数学
• 关键词: ANALYTICS BIG DATA Chicago CORRELATION CRIME
• 年，卷（期）: 2019,（5）
• 页码范围: 389-396
• 页数: 8页
• 分类号: O17

摘要

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.