Algorithm Research & Explore
|
3049-3054

Analysis of sampling effectiveness of big data based on shuffling algorithm

Liu Hanyue
Zhang Chunsheng
College of Computer Science & Technology, Inner Mongolia University for Nationalities, Tongliao Inner Mongolia 028043, China

Abstract

The shuffling algorithm based on folding technique has ideal data scrambling effect and can meet the prerequisite of big data sampling. In order to prove that the internal rules of the scrambled data set are not destroyed after sampling, this paper analyzed the association rules of the data before and after sampling by data mining, and compared the support and confidence of the association rules as well as the frequency of the transactions, and found that the association rules of the data after the collapsed shuffle algorithm were stable before and after sampling. And by comparing with the time efficiency of the existing algorithm and the overall sampling error, it is further concluded that big data sampling is effective. Which means that the overall situation of the data can be inferred from the sampled sample.

Foundation Support

国家自然科学基金资助项目(81460656)
内蒙古自然科学基金资助项目(2018MS06016)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.02.0055
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Algorithm Research & Explore
Pages: 3049-3054
Serial Number: 1001-3695(2021)10-029-3049-06

Publish History

[2021-10-05] Printed Article

Cite This Article

刘涵阅, 张春生. 基于洗牌算法的大数据抽样有效性分析 [J]. 计算机应用研究, 2021, 38 (10): 3049-3054. (Liu Hanyue, Zhang Chunsheng. Analysis of sampling effectiveness of big data based on shuffling algorithm [J]. Application Research of Computers, 2021, 38 (10): 3049-3054. )

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  • 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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