The objective of this paper is to apply the STEAMS (Science, Technology, Engineering, Artificial Intelligence, Mathematics, Statistics) technique in order to predict future crime rates by analyzing the crime data of the past decade. The history of crime traces back to the millennia; as many perpetual elements go into why people commit crime- including one’s upbringing, family cohesiveness, and their environment. Population growth, density, size, and degree of urbanization; economic conditions, cultural/educational characteristics, and different law enforcements all influence crime rates as well. Literary research was done online regarding whether the factors of, specifically, violent, property, murder, and rape rates of Alaska, California, Florida, and New York will worsen or improve. The 5 Whys engineering process was used find the most prominent cause(s) of crime in each state. Clustering was used to classify the data based on similarity and patterns. The primary functions and calculations of the project were completed through analysis, data modeling, and algorithm training/predicting. Multidimensional Regression was used to test further whether or not a pattern existed within the crime data from the last decade. The Monte Carlo simulation approach was adopted as well to predict future crime rates of the particular states.
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