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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3297-3301

Internet of things big data feature selection method based on particle filter and improved ABC algorithm on Hadoop platform

Wu Ying1
Li Xiaoling1
Tang Jinglei2
1. College of Information & Business, Zhongyuan Institute of Technology, Zhengzhou 451191, China
2. School of Information Engineering, Northwest A&F University, Yangling Shaanxi 712100, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0287

Abstract

Aiming at the problem that the existing Internet of Things big data feature selection algorithm has low computational efficiency and low scalability, this paper proposed a system architecture that selected features by using improved artificial bee colony. The architecture included a four-layer system and it could efficiently aggregate the effective data and eliminated unwanted data. The entire system was based on the Hadoop platform, MapReduce, and improved ABC algorithm. The method used improved ABC algorithm to select features and it also used a parallel algorithm to support MapReduce, which could efficiently process a huge volume of data sets. It used MapReduce tool to implement the system and used particle filter for removal of noise. The proposed algorithm and similar algorithms were evaluated for the efficiency, accuracy and throughput by using ten different data sets. The results show that the proposed algorithm is more scalable and efficient in selecting features.

Foundation Support

国家自然科学基金面上项目(61472314)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0287
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3297-3301
Serial Number: 1001-3695(2019)11-022-3297-05

Publish History

[2019-11-05] Printed Article

Cite This Article

吴颖, 李晓玲, 唐晶磊. Hadoop平台下粒子滤波结合改进ABC算法的IoT大数据特征选择方法 [J]. 计算机应用研究, 2019, 36 (11): 3297-3301. (Wu Ying, Li Xiaoling, Tang Jinglei. Internet of things big data feature selection method based on particle filter and improved ABC algorithm on Hadoop platform [J]. Application Research of Computers, 2019, 36 (11): 3297-3301. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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