Crime Factor Anaysis and Prediction Using Machine Learning

被引：0

作者：

Anitha, N. ^{[1
]}

Gowtham, S. ^{[1
]}

Shri, M. Kaarniha ^{[1
]}

Kalaiyarasi, T. ^{[1
]}

机构：

[1] Kongu Engn Coll, Erode, India

来源：

INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS, IBICA 2021 | 2022年 / 419卷

关键词：

Single parent crime; Health factor; Crime rate; Punished crime;

D O I：

10.1007/978-3-030-96299-9_30

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A crime, often known as a criminal offence, is an act that harms not just people but also a community, society, or state. Every second, a large number of crimes occur in various locations, patterns, and times, and the number continues to rise. Murder, retaliation, theft, rape, kidnapping, and burglary are only a few examples of many sorts of crimes. As a result, it's critical to recognise various reasons and criminal patterns. This study examines how machine learning algorithms may be created and analysed to classify crimes as high, medium, or low based on real-time parameters such as single parent crime, health, and crime rate, punished crime.

引用

页码：307 / 313

页数：7

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