Modified Artificial immune system as Feature Selection

  • Jamal H. Assi Computer Science Department, Technology University, Baghdad, Iraq.
  • Ahmed T. Sadiq Computer Science Department, Technology University, Baghdad, Iraq.
Keywords: AIS, feature selection, NSL-KDD

Abstract

Feature selection algorithms play a big role in machine learning applications. There are several feature selection strategies based on metaheuristic algorithms. In this paper a feature selection strategy based on Modified Artificial Immune System (MAIS) has been proposed. The proposed algorithm exploits the advantages of Artificial Immune System AIS to increase the performance and randomization of features. The experimental results based on NSL-KDD dataset, have showed increasing in performance of accuracy compared with other feature selection algorithms (best first search, correlation and information gain).

Published
2018-04-29
How to Cite
AssiJ. H., & SadiqA. T. (2018). Modified Artificial immune system as Feature Selection. Iraqi Journal of Science, 59(2A), 733-738. Retrieved from http://scbaghdad.edu.iq/eijs/index.php/eijs/article/view/250
Section
Computer Science