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RETRACTED ARTICLE: Big data detection of marine biological characteristics and juvenile swimming based on massive data

This article was retracted on 09 November 2021

An Editorial Expression of Concern to this article was published on 28 September 2021

This article has been updated


With the rapid development of modern information technology, a series of chain reactions have taken place, among which the explosive increase of big data is one of its remarkable characteristics. Data mining is the process of finding the information hidden in the algorithm from a large number of data. How to effectively process and store these large amounts of data to obtain the effective knowledge is a very important task. In this study, we introduce data preprocessing technology, mass storage methods, and so on. The results show that the existence of large-scale algae plays an important role in the habitat and growth of claw algae and Chrysopa. However, there are some differences in the functions of different marine biological characteristics in the formation of biological populations. What causes these differences? Its own diversity is one of the important factors. In today’s era of big data flooding, its application scope is also very wide, including swimming, swimming training in China’s young people, has not been able to do very well. In this paper, through the research and analysis of marine biological characteristics and youth swimming big data detection and the results are applied to practical life, in order to achieve its practical significance.

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Correspondence to Yezhou Guo.

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This article is part of the Topical Collection on Environment and Low Carbon Transportation

This article has been retracted. Please see the retraction notice for more detail:

Responsible Editor: Sheldon Williamson

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Zhao, W., Guo, Y. RETRACTED ARTICLE: Big data detection of marine biological characteristics and juvenile swimming based on massive data. Arab J Geosci 14, 1808 (2021).

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  • Marine biological characteristics;
  • Teenagers;
  • Swimming;
  • Big data