Algorithm Research & Explore
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50-52,56

Using genetic algorithm for feature selection optimization on big data processing

Zhang Wenjie1,2
Jiang Liehui1,2
1. Faculty of Cyberspace Security, PLA Information Engineering University, Zhengzhou 450001, China
2. State Key Laboratory of Mathematical Engineering & Advanced Computing, Zhengzhou 450001, China

Abstract

This paper proposed a novel feature selection method based on genetic algorithm for big data processing. Firstly, this method evaluated the features of each dimension, adjusted its weight according to the difference of each feature on the si-milar nearest neighbor and the heterogeneous nearest neighbor, and guided the search of genetic algorithm based on the feature weight, thus improved the search ability of the algorithm and the accuracy of feature acquisition. And then it combined the feature weights to calculate the fitness of the feature, took fitness as the evaluation index, and started the genetic algorithm to obtain the optimal feature subset, finally achieved an efficient and accurate big data feature selection. The results of experiment show that this method can effectively reduce the number of classification features and improve the accuracy of feature classification.

Foundation Support

河南省基础前沿课题
河南省科技攻关计划项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0495
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 50-52,56
Serial Number: 1001-3695(2020)01-010-0050-03

Publish History

[2020-01-05] Printed Article

Cite This Article

张文杰, 蒋烈辉. 一种基于遗传算法优化的大数据特征选择方法 [J]. 计算机应用研究, 2020, 37 (1): 50-52,56. (Zhang Wenjie, Jiang Liehui. Using genetic algorithm for feature selection optimization on big data processing [J]. Application Research of Computers, 2020, 37 (1): 50-52,56. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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