犯罪模式检测、分析与预测

S. Yadav, Meet Timbadia, Ajit Yadav, Rohit Vishwakarma, Nikhilesh Yadav
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引用次数: 52

摘要

犯罪是一种社会问题,在几个方面对我们的社会造成了深刻的影响。任何能帮助快速破案的研究都是值得的。大约10%的罪犯犯下了大约50%的罪行[9]。该系统是通过输入印度合法在线门户网站前几年的犯罪记录来训练的,这些记录列出了各种犯罪,如谋杀、绑架和绑架、抢劫、抢劫、入室盗窃、强奸和其他此类犯罪。根据印度统计数据,该数据提供了过去14年(2001-2014)的各种犯罪数据,创建了一个回归模型,可以预测各州接下来几年的犯罪率[8]。我们在犯罪记录上使用了监督、半监督和无监督学习技术[4]来进行知识发现,并帮助提高犯罪预测的准确性。这项工作将有助于地方派出所打击犯罪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crime pattern detection, analysis & prediction
Crimes are a social irritation and cost our society deeply in several ways. Any research that can help in solving crimes quickly will pay for itself. About 10% of the criminals commit about 50% of the crimes [9]. The system is trained by feeding previous years record of crimes taken from legitimate online portal of India listing various crimes such as murder, kidnapping and abduction, dacoits, robbery, burglary, rape and other such crimes. As per data of Indian statistics, which gives data of various crime of past 14 years (2001–2014) a regression model is created and the crime rate for the following years in various states can be predicted [8]. We have used supervised, semi-supervised and unsupervised learning technique [4] on the crime records for knowledge discovery and to help in increasing the predictive accuracy of the crime. This work will be helpful to the local police stations in crime suppression.
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