期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2022
卷号：4
期号：4
页码：1061-1069
DOI：10.35629/5252-0404836838
语种：English
出版社：IJAEM JOURNAL
摘要：One of our society's most important problems is crime. It is the most pervasivepart of our culture. It's also pervasive in society. As a result, one of the most important jobs is to prevent crime. The investigation of crimes should be done in a systematic manner. As a result of the analysis, it is critical in the detection and prevention of crime. The analysis identifies patterns in the investigation and aids inthe discovery of crime trends. The main focus of this study is an examination of the effectiveness of criminal investigation. The model is intended to detect crime patterns based on inferences. The inferences are gathered from the crime scene, and the study uses these inferences to show the perpetrator's forecast. The machine learning approach can better help in the prediction and analysis of the crime. Regression techniques are provided by the machine learning methodology. The classification procedures assist in achieving the investigation's goal. Multi-linear regression and other regression techniques are statistical methods. This strategy aidsin the discovery of a relationship between two numerical values or variables. Based on the independent factors, this method predicts the values of the dependent variables. Machine learning algorithm provide less accuracy in crime prediction. So implement the deep learning algorithm named as Multi-layer perceptron algorithm to classify the datasets and predict the crimes with improved accuracy rate.
关键词：Crime data;Machine learning;Deep learning;Data science and Engineering;Multilayer perceptron
