Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This crime analysis project aims to leverage advanced data integration techniques and predictive modeling to enhance the effectiveness of crime analysis for law
enforcement agencies. The project will involve the integration of various data sources. Using machine learning algorithms, the project aims to develop
predictive models capable of forecasting potential crime hotspots and trends based on historical and real-time data. The integration of data-driven decision-making and predictive modeling can revolutionize crime analysis methodologies, fostering
a safer and more secure environment for
communities.
Keywords:
crime analysis, deep learning, SVM, KNN, Naïve Bayes
Cite Article:
"A SURVEY ON CONTEMPORARY CRIME ANALYSIS", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 1, page no.137 - 144, January-2024, Available :http://www.ijrti.org/papers/IJRTI2401024.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator