Discretization of the Crime Rate from Numerical Into Categorical

The objective of this study is to discretize the crime rate figures into categorical values and to find associations between different crime rates in multiple cities. Regression modeling is used to regress the value of one crime rate on the basis of all others or some of the other crimes rates. As p...

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Bibliographic Details
Published in:	2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) pp. 1 - 7
Main Authors:	Memon, Suhail Ahmed, Akhtar, Faheem, Nazir, Ahsan, Wajahat, Ahsan, Qureshi, SirajUddin, Ullah, Faheem, Shakeel, Anum
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-01-2020
Subjects:	association categorizing data Data models Decision trees discretization Histograms Machine learning Machine learning algorithms Regression Modeling Urban areas
Online Access:	Get full text
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Summary:	The objective of this study is to discretize the crime rate figures into categorical values and to find associations between different crime rates in multiple cities. Regression modeling is used to regress the value of one crime rate on the basis of all others or some of the other crimes rates. As per US statistics on crime, this research focused on identifying the variable crime in multiple cities of the US and categorized the data of crime by applying machine learning techniques with the establishment of data discretization and preprocessing process.
DOI:	10.1109/iCoMET48670.2020.9074137