Crime pattern detection, analysis and prediction

Registration ID: IJNRD_217615

Published ID: IJNRD2404875

: Click Here to Get

About Hard Copy and Transparent Peer Review Report

Aishwarya Retawade, Jinesh Melvin, Shivraj Yelave, Rutika Salunkhe, Anutej Ware

Crime prediction, Criminal hotspot, Police station contacts, Crime detection

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

Published Paper   E-Certificate

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

Volume 9 Issue 4, April-2024

Pages : i657-i670

Paper Reg. ID: IJNRD_217615

Published Paper Id: IJNRD2404875

Research Area: Information Technology 

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

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

UGC CARE JOURNAL PUBLICATION | ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.

You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

Call For Paper - Volume 10 | Issue 12 | December 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.

Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.

For more details, refer to the official notice: UGC Public Notice

Submit Paper Online

Important Dates for Current issue

Paper Submission Open For: December 2025

Current Issue: Volume 10 | Issue 12 | December 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Dec-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details

Approval, Licenses and Indexing: More Details