Open AccessPrediction Analysis Of Criminal Data Using Machine Learning
Author(s) -
Meiliana,
Dedi Trisnawarman,
Muhammad Choirul Imam
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/852/1/012164
Subject(s) - commission , computer science , criminology , sadistic personality disorder , law , computer security , political science , psychology , social psychology , personality disorders , personality
The human-being life necessities have encouraged the commission of crime since ancient times. Nowadays, many crimes factor and techniques have developed in a more sadistic way, causing more victims and loss. The authorized parties need to find a way to minimize the commission of a crime. This research aims to utilize linear regression algorithm for analyzing crime data to generate predictions for crime, which shows a quite reliable result. The result can be used by the authorized parties to help them prevent and handle upcoming crime.