2023 Vol.6 Feb.No1

• Title: Approaches to the construction of Hainan fishermen's history archives in the context of big data
• Name: Huajing chao
• Company: (University Of Sanyaschool Of Humanities And Communication Sanya Hainan 572022,China)
• Abstract:

  The current method of building the history of fishermen in Hainan has the problem of occupying too much CPU occupancy, for this reason, a method of building the history of fishermen in Hainan in the context of big data is designed. Extracting the development characteristics of fishermen's history, deriving the specific expression formula of linear econometric equations by taking logarithms on both sides, constructing a functional model of Hainan fishery production, obtaining Web reference analysis of linked data HTTP URIs, HTTP URIs used as a bridge, and designing archival construction methods in the context of big data. Experimental results: The mean value of CPU occupancy for the construction method of the Hainan fishermen's history archive in the paper was 34.511%, indicating that this design of the construction method of the Hainan fishermen's history archive is more effective.

  
  

• Keyword: big data; Hainan fishermen; archive construction; fisheries production; fisheries trade; boat-dwelling people;
• DOI: 10.12250/jpciams2023090323
• Citation form: Huajing chao.Approaches to the construction of Hainan fishermen's history archives in the context of big data [J]. Computer Informatization and Mechanical System,2023,Vol.6,pp.98-103

References

[1] Hou S ,  Liu Y ,  Yang Q . Real-time prediction of rock mass classification based on TBM operation big data and stacking technique of ensemble learning[J]. Journal of Rock Mechanics and Geotechnical Engineering, 2022, 14( 1):123-143.

[2] Weber G W ,  Khan S A R ,  Mardani A . Guest editorial: Editorial for special issue on the role of big data on the transition to circular economy and sustainable operations management[J]. Journal of Enterprise Information Management, 2022, 35(4/5):949-954.

[3]Jason W, Sameer P, Ceyhun O. Big Data and Supply Chain Analytics: Implications for Teaching[J]. Operations Management Education Review,2020,14(0):. 155-176

[4]Roussain J. Pedagogue in the Archive: Reorienting the Archivist as Educator[J]. Archivaria,2020,90(1): 70-111.

[5]Kuznetsova O, Kuznetsov A. And then there were none: what a UCU archive tells us about employee relations in marketising universities[J]. Studies in Higher Education,2020,45(12): 2439-2450.

[6]Findlen P. Markus F. The Birth of the Archive: A History of Knowledge.[J]. The American Historical Review,2020,125(5): 1952-1953.

[7]Guizzardi A, Pons E, Angelini G, et al. Big data from dynamic pricing: A smart approach to tourism demand forecasting[J]. International Journal of Forecasting,2020,37(3): 1049-1060.

[8] Wang Yan. Big Data Center Storage Information Hierarchical Classification Optimization Extraction Simulation [J]. Computer Simulation ,2020,37(4):406-409.

[9]Kovaleva N. O.,Stolpnikova E. M.. Volcanic Soil Series of the Lesser Caucasus as an Archive of Early Pleistocene Paleoecological Information[J]. Paleontological Journal,2020,54(8): 872-881.

[10]O'Donnell K. The Activist Archive: Feminism, Personal-Political Papers, and Recent Women's History[J]. Journal of Women's History,2020,32(4): 88-109.