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  Published Paper Details:

  Paper Title

  Authors

  Ganesh Kukreja,  Sidharth Mav,  Anand Vaswani,  Prabhav Pathak,  Dr. Mrs. Gresha bhatia

  Keywords

Crime, Prediction, Machine Learning model, Suspects.

  Abstract


Criminal Analysis is a systematic approach for identifying trends in a given data set and analyzing the trends to come to a conclusion. Given a data set of suspects, our system can give predict which suspect has the most chance of committing the particular crime, which means the police department will know on which suspect the most focus should be driven. This paper present the use of Data Mining to extract previously unknown and useful information from the provided data set. The proposed system identifies through its dataset and the algorithm developed, the most probable culprit. This prediction thus reduces the time complexities involved in narrowing down on the suspect and the culprit. This paper further evaluates the individual criminal statistics that would help the police forces to resolve the crime effectively.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1803196

  Paper ID - 184252

  Page Number(s) - 695-699

  Pubished in - Volume 6 | Issue 1 | March 2018

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Ganesh Kukreja,  Sidharth Mav,  Anand Vaswani,  Prabhav Pathak,  Dr. Mrs. Gresha bhatia,   "CRIME DATA ANALYSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.695-699, March 2018, Available at :http://www.ijcrt.org/papers/IJCRT1803196.pdf

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


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