Paper Title
Crime pattern detection, analysis and prediction
Article Identifiers
Registration ID: IJNRD_217615
Published ID: IJNRD2404875
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Keywords
Crime prediction, Criminal hotspot, Police station contacts, Crime detection
Abstract
Crime is one of the dominant aspect of our society. Everyday lots numbers of crimes are committed, these frequent crimes have made the lives of citizens restless. So, preventing the crime from occurring is a vital task. In the recent time, it is seen that Machine Learning and Artificial Intelligence has shown its importance in almost all the field and crime prediction and analysis is one of them. However, it is needed to maintain a proper database of the crime that has occurred as this information can be used for future reference. Prediction of crime is a systematized method that classifies and examines the crime patterns. There exist various algorithms for crime analysis and pattern prediction but they do not reveal all the requirements. Predicting the crime accurately is a challenging task because crimes are increasing at an alarming rate. Thus, the crime prediction and analysis methods are very important to detect crimes and to reduce them. In Recent time, many researchers have conducted experiments to predict the crimes using machine learning methods and various particular inputs. For crime prediction, Linear Regression, Random Forest, and some other algorithms are used. The main purpose is to highlight the effectiveness of machine learning in predicting violent crimes occurring in a particular region in such a way that it can be used by police to reduce crime rates in the society
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How To Cite (APA)
Aishwarya Retawade, Jinesh Melvin, Shivraj Yelave, Rutika Salunkhe, & Anutej Ware (April-2024). Crime pattern detection, analysis and prediction. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), i657-i670. https://ijnrd.org/papers/IJNRD2404875.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : i657-i670
Other Publication Details
Paper Reg. ID: IJNRD_217615
Published Paper Id: IJNRD2404875
Research Area: Information TechnologyÂ
Author Type: Indian Author
Country: Thane, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404875.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404875
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