CRIME RATE ANALYSIS AND VISUALIZATION USING ML
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| Format: | Recurso digital |
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2026
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| _version_ | 1866902270003642368 |
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| author | Mohd Danish Ahmed, Nakkewar Srikanth, Nidadana Maheswar Rao, Nademinti Jagadish Mrs. Zohra Naval |
| author_facet | Mohd Danish Ahmed, Nakkewar Srikanth, Nidadana Maheswar Rao, Nademinti Jagadish Mrs. Zohra Naval |
| contents | <p><a href="https://ijetrm.com/issues/files/Apr-2026-02-1775100130-CRIME-APR2026-04.pdf" target="_blank" rel="noopener"><em><strong>Crime is one of the major concerns f</strong></em></a>or society and government agencies as it affects public safety and social<br>stability. With rapid urbanization and population growth, crime patterns are becoming more complex, making<br>traditional analysis methods less effective. To overcome this, Machine Learning (ML) combined with data<br>visualization provides a better way to analyze crime data and identify hidden patterns.<br>This project focuses on developing a Crime Rate Analysis and Visualization System that uses ML algorithms to<br>analyze historical crime data, detect trends, and predict crime-prone areas. It also includes interactive dashboards<br>that help law enforcement and policymakers easily understand crime distribution. The system improves decisionmaking, supports efficient resource allocation, and helps in preventing crimes using data-driven insights</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19380432 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CRIME RATE ANALYSIS AND VISUALIZATION USING ML Mohd Danish Ahmed, Nakkewar Srikanth, Nidadana Maheswar Rao, Nademinti Jagadish Mrs. Zohra Naval Crime <p><a href="https://ijetrm.com/issues/files/Apr-2026-02-1775100130-CRIME-APR2026-04.pdf" target="_blank" rel="noopener"><em><strong>Crime is one of the major concerns f</strong></em></a>or society and government agencies as it affects public safety and social<br>stability. With rapid urbanization and population growth, crime patterns are becoming more complex, making<br>traditional analysis methods less effective. To overcome this, Machine Learning (ML) combined with data<br>visualization provides a better way to analyze crime data and identify hidden patterns.<br>This project focuses on developing a Crime Rate Analysis and Visualization System that uses ML algorithms to<br>analyze historical crime data, detect trends, and predict crime-prone areas. It also includes interactive dashboards<br>that help law enforcement and policymakers easily understand crime distribution. The system improves decisionmaking, supports efficient resource allocation, and helps in preventing crimes using data-driven insights</p> |
| title | CRIME RATE ANALYSIS AND VISUALIZATION USING ML |
| topic | Crime |
| url | https://doi.org/10.5281/zenodo.19380432 |