Machine Learning Based Crime Pattern Prediction
Abstract
Thispaper describes the crime pattern prediction using machine learning algorithm. In order to analyze and have a response ahead this type of criminal activities, it is necessary to understand the crime patterns. Machine Learning Algorithm is implied in this work in order to classify among various crime patterns and the accuracy. Machine learning algorithm is implemented for the extraction of the features about the crime prediction. In this, Crime prediction is a systematic approach for finding the crime patterns and trends. It gives different technologies that can be used for building Crime prediction system. As we know, by building Crime Prediction System, it actually speeds up the process of solving crimes and reduces the rate of crime. This project helps to analyze and find the similarities as well as the differences of previous and recent crime patterns. It enhances the findings of previous loopholes of crime reports. With the increasing advent of computerized systems, crime data analysts can help the law enforcement officers to speed up the process of solving crimes. Using the concept of data mining, we can extract previously unknown and useful information from an unstructured data. Here we have an approach between computer science and criminal justice to develop a data mining procedure that can helps to solve crimes faster.In order to have a response for a crime, it is necessary to understand the crime patterns. Machine learning algorithms will be utilized in this work in order to classify among various crime patterns and to achieve accuracy. The dataset contains homicide entries. The proposed algorithm provides the high predicting efficiency .This project was written to assist researchers aiming to make crime prediction a reality and implement such advanced technology in real life.The output of the project will be in a graph format.Almost machine learning algorithms are used to find and provides the high efficiency and also the high accuracy. According to the crime types it could provide the exact comparison not on manually but with a correct accuracy with great efficiency.