Crime Prediction System

Registration ID: IJNRD_205214

Published ID: IJNRD2309126

DOI: Click Here to Get

Dachawar Priyanka Shankarrao

Crime, Analyse, Crime patterns, Kaggle, Estimate, Naıve Bayes, Accuracy.

In this era of recent times, crime has become an evident way of making people and society under trouble. An increasing crime factor leads to an imbalance in the constituency of a country. In order to analyse and have a response ahead this type of criminal activities, it is necessary to understand the crime patterns. This study imposes one such crime pattern analysis by using crime data obtained from Kaggle open source which in turn used for the prediction of most recently occurring crimes. The major aspect of this project is to estimate which type of crime contributes the most along with time pe- riod and location where it has happened. Some machine learning algorithms such as Naıve Bayes is implied in this work in order to clas- sify among various crime patterns and the accuracy achieved was comparatively high when compared to precomposed works.

Published Paper   E-Certificate

Dachawar Priyanka Shankarrao (September-2023). Crime Prediction System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), b239-b244. https://ijnrd.org/papers/IJNRD2309126.pdf

Volume 8 Issue 9, September-2023

Pages : b239-b244

Paper Reg. ID: IJNRD_205214

Published Paper Id: IJNRD2309126

Downloads: 000121981

Research Area: Computer Engineering 

Country: Naigaon, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309126.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309126

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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