Crime behaviour analysis using machine learning algorithm
Author(s):
Monisha alias selvi.S, Priyanka.N, Radha.E, Packiya Lakshmi.P
Keywords:
Abstract
A criminal analysis is the method approach for analyzing and identifying patterns and trends in the crimes. With the increasing origin of the computerized system, crime data analysts can help Law enforcement officers to speed up the process of solving crimes. Using the concept of data mining, the system can analyze previously unknown useful information from unstructured data. Predictive policy means, using analytical and predictive techniques to identify the criminal and it is pretty and much effective in doing the same. Because of the increased crime rate over the years, the system will have to handle a huge amount of crime data stored in a warehouse which would be very difficult to analyze manually also nowadays criminals are becoming technologically advance, so there is a need to use the advance technologies to keep the police ahead of them. In our system, the crime dataset of India contains a record of serious fraud of property in all states and we will apply k-means clustering. we can implement machine learning algorithms. Finally, the experimental results show the accuracy, precision, recall, and f1-score.
Article Details
Unique Paper ID: 159559

Publication Volume & Issue: Volume 9, Issue 12

Page(s): 255 - 258
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