Authors :
Nazma Sultana Shaik; K. Sai Krishna; P. Naveen Kumar
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3QKnzv9
DOI :
https://doi.org/10.5281/zenodo.6716727
Abstract :
Crime is one in every of the most important
hurdle in today’s global and it’s growing at the hearth
place tempo that is a primary motive for concern. There
is a want to screen and maintain music of all the crimes
in order that it may be utilized by police branch to
analyze the instances without problems and quickly. In
this experiment, a gadget studying K-way set of rules is
used to are expecting and examine the crime with inside
the metropolis of Chicago. The dataset of crimes in
Chicago is to be had on the kaggle website, this is used
because the dataset to make prediction and to visualize
the styles and developments of various crimes. The
different cause of this mission is to assess how lots okay –
way set of rules is viable to decide and clear up the
present day problem.
Keywords :
Crime Analysis, Training Datasets, Decision tree, Naïve Bayes, k Nearest Neighbor (KNN)
Crime is one in every of the most important
hurdle in today’s global and it’s growing at the hearth
place tempo that is a primary motive for concern. There
is a want to screen and maintain music of all the crimes
in order that it may be utilized by police branch to
analyze the instances without problems and quickly. In
this experiment, a gadget studying K-way set of rules is
used to are expecting and examine the crime with inside
the metropolis of Chicago. The dataset of crimes in
Chicago is to be had on the kaggle website, this is used
because the dataset to make prediction and to visualize
the styles and developments of various crimes. The
different cause of this mission is to assess how lots okay –
way set of rules is viable to decide and clear up the
present day problem.
Keywords :
Crime Analysis, Training Datasets, Decision tree, Naïve Bayes, k Nearest Neighbor (KNN)
