Selecting Efficient Features via a Hyper-Heuristic Approach

  • Montazeri, Mitra
  • Soleymani Baghshah, Mahdieh
  • Niknafs, Aliakbar
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Publication date
December 2011
Publisher
Amirkabir University of Technology, Tehran, Iran

Abstract

By Emerging huge databases and the need to efficient learning algorithms on these datasets, new problems have appeared and some methods have been proposed to solve these problems by selecting efficient features. Feature selection is a problem of finding efficient features among all features in which the final feature set can improve accuracy and reduce complexity. One way to solve this problem is to evaluate all possible feature subsets. However, evaluating all possible feature subsets is an exhaustive search and thus it has high computational complexity. Until now many heuristic algorithms have been studied for solving this problem. Hyper-heuristic is a new heuristic approach which can s...

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