文章基本信息

标题：PREDICTION OF CRIME RATE ANALYSIS USING MACHINE LEARNING ALGORITHMS
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作者：Amjan Shaik ; N. Satya Anisha ; G. Vasanthi Reddy 等
期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：5
页码：1554-1563
DOI：10.9756/INTJECSE/V14I5.157
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：One of the major issues facing our society is crime. It is the maximum foremost thing of our society. So, the prevention of crime is one of the essential tasks. The crime evaluation ought to be in a scientific way. As the evaluation makes it essential within side the detecting and prevention of crime. It additionally provides that the instances of murder, rapes, and kidnapping have visible a rise. Most of nations within side the global have visible a outstanding boom in the crime fee. There isn't any unique purpose for any hassle for crook activities. To save you this problem in police sectors, should expect crime fee the usage of device mastering strategies. The goal is to examine device mastering-based methods for crime rate employing prediction outcomes with the highest degree of accuracy, and to determine how well these works use the facts approach inside the efforts of crime prediction with a focus on the data set. The Kaggle website provided the dataset for this project. It changed into trained and examined the usage of a device mastering approach.
关键词：Crime rate;Machine Learning;Prediction;k-means;Data mining;Clustering