This paper is published in Volume-7, Issue-4, 2021
Area
Machine Learning
Author
Mohammad Tahir, Md Asif Anwar, Ruma Afsha Sultana, Manjunath S. R., Fardeen Khan
Org/Univ
Raja Rajeswari College of Engineering, Bengaluru, Karnataka, India
Pub. Date
10 August, 2021
Paper ID
V7I4-1713
Publisher
Keywords
Naïve Bayes Algorithm, IPC, Text Classification, Real-Time Prediction

Citationsacebook

IEEE
Mohammad Tahir, Md Asif Anwar, Ruma Afsha Sultana, Manjunath S. R., Fardeen Khan. Crime Prediction using Naïve Bayes Algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Mohammad Tahir, Md Asif Anwar, Ruma Afsha Sultana, Manjunath S. R., Fardeen Khan (2021). Crime Prediction using Naïve Bayes Algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.

MLA
Mohammad Tahir, Md Asif Anwar, Ruma Afsha Sultana, Manjunath S. R., Fardeen Khan. "Crime Prediction using Naïve Bayes Algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.

Abstract

This paper presents the detection of the crimes happening in India. The criminal offenses lead to certain punishment according to the Indian Penal Code (IPC). For particular crimes, particular sections are assigned to punish the criminal or convicts with jail terms and fines. On these pre-processed data sets, by applying the Naïve Bayesian algorithm we create a predictive model which analyzes the data and helps to predict the crime type in a near future. We are using a dataset to apply the Naïve Bayes algorithm to predict crimes in India.