MATEC Web Conf.
Volume 281, 2019International Conference of Engineering Risk (INCER 2019)
|Number of page(s)||5|
|Section||Data Uncertainty and Security|
|Published online||21 May 2019|
Improvement of Criminal Identification by Smart Optimization Method
1 Informatics Institute of Postgraduate Studies, University of Information Technology and Communications. Baghdad, Iraq
2 Computer Engineering Department, University of Technology, Baghdad, Iraq
3 Computer Engineering Department, University of Technology, Baghdad, Iraq
* Corresponding author: email@example.com,firstname.lastname@example.org
Data-mining methods, which can be optimized via different methods, are applied in crime detection. This work, the decision tree algorithm is used for classifying and optimizing its structure with the smart method. This method is applied to two datasets: Iraq and India criminals. The goal of the proposed method is to identify criminals using a mining method based on smart search. This contribution helps in the acquisition of better results than those provided by traditional mining methods via controlling the size of the tree through decreasing leaf size.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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