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  Published Paper Details:

  Paper Title

CRIME ANALYSIS AND PREDICTION SYSTEM FOR WOMEN USING MACHINE LEARNING

  Authors

  T.Naga Nandini,  Dr.T.Siva Ratna Sai,  M.Harsha Vardhan,  B.Sivaji,  R.Sai Kalyan

  Keywords

k-means,Logistic Regression Algorithm, Support Vector Machine Algorithm , Random Forest Algorithm

  Abstract


Crime against women is one of the dangerous aspects of our society which is growing continuously in intensity and complexity. The primary objective of this project is to distinguish various crimes using clustering techniques based on the occurrences and regularity. This project mainly focuses on machine learning in pattern recognition for analysis of patterns through Indian states for crime against women. In this project, the crime data is classified using the K-means clustering algorithm. In this there would be a concept of clustering methodology along with machine learning algorithms like cleaning the dataset, clustering the performance of each algorithm is analysed and the best algorithm is found out which is having maximum accuracy of crime detection. The basic aim to provide with online application that could generate a quick and analysed view of crime against women scenario in India.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2301021

  Paper ID - 229484

  Page Number(s) - a177-a179

  Pubished in - Volume 11 | Issue 1 | January 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  T.Naga Nandini,  Dr.T.Siva Ratna Sai,  M.Harsha Vardhan,  B.Sivaji,  R.Sai Kalyan,   "CRIME ANALYSIS AND PREDICTION SYSTEM FOR WOMEN USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 1, pp.a177-a179, January 2023, Available at :http://www.ijcrt.org/papers/IJCRT2301021.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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