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  Published Paper Details:

  Paper Title

Empirical Analysis for Crime Prediction and Forecasting Using Machine Learning and Deep Learning Techniques

  Authors

  Meenagari Samatha Sri,  Goda Bhargavi,  Rachakonda Geethika,  Preethi jeevan

  Keywords

crime forecasting, Preventive measures , Criminal behaviour , Interventions

  Abstract


Crime forecasting and prediction using machine learning has become an important field of study in recent years. By analyzing historical crime data, machine learning algorithms can identify patterns and trends that help predict the likelihood of future crimes occurring in specific areas or times. Every nation needs to prioritize its efforts in the areas of criminal investigation and prevention. The number of criminal cases in India and other countries is increasing at a rapid place, which has resulted in an increasing number of active cases. Keeping up with the growing quantity of criminal cases is becoming more and more challenging. Preventing criminal behavior in a given area requires an understanding of its trends. Having a comprehensive understanding of the patterns of criminal conduct prevalent in a certain area might enhance the efficacy of crime-solving organizations. Despite the significant and ongoing issue of crime against women, women's safety and protection are primary concerns. This work uses ensemble methods to anticipate crime patterns that could emerge in a given area.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT24A4831

  Paper ID - 256395

  Page Number(s) - p954-p962

  Pubished in - Volume 12 | Issue 4 | April 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Meenagari Samatha Sri,  Goda Bhargavi,  Rachakonda Geethika,  Preethi jeevan,   "Empirical Analysis for Crime Prediction and Forecasting Using Machine Learning and Deep Learning Techniques", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.p954-p962, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A4831.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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