TY - EJOU AU - Ruiz, Daniel Rivera AU - Sawant, Alisha TI - Quantitative Analysis of Crime Incidents in Chicago Using Data Analytics Techniques T2 - Computers, Materials \& Continua PY - 2019 VL - 59 IS - 2 SN - 1546-2226 AB - 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. KW - Analytics KW - big data KW - Chicago KW - correlation KW - crime DO - 10.32604/cmc.2019.06433