CRIME DATA ANALSYSIS AND PREDICTION USING DECISION TREE

Abstract

Using crime analysis and prediction is a methodical way to find the crime. This algorithm is able to
identify areas with a high likelihood of crime and forecast where it will occur. We may take previously
undiscovered, valuable information from an unstructured data set using the idea of data mining. Using
the current datasets, the extraction of additional information is projected. Crime is a perilous societal
issue that exists everywhere. Crimes have an impact on a country's reputation, economic prosperity,
and quality of life. There is a need for cutting-edge methods and fresh ideas for enhancing crime
analytics in order to safeguard communities from criminal activity. We provide a system that can
analyze, find, and forecast different crime probabilities in a given area. Using different data mining
approaches, this study describes several forms of criminal analysis and crime prediction.