Search

Research and Application of Mathematical Model under Big Data

Author(s)

Xizhe Long

Affiliation(s)

College of Science, Tianjin University of Technology, Tianjin, China

Abstract

As a bridge connecting abstract theory and real world application, mathematical model has become an effective tool to solve all kinds of problems. It embodies the essence of mathematics and expands mathematical theory while realizing interdisciplinary interaction. It has promoted the development of science and technology. At present, the era of big data has arrived, and its massive, high-dimensional and heterogeneous data puts forward higher requirements for the establishment of mathematical models. Therefore, standing on the node of the past and the future, this paper analyzes and summarizes the application of mathematical models in various aspects in the current era of big data from the three aspects of financial market risk measurement, big data medical analysis and agriculture, and finally discusses the shortcomings of the current development and makes prospects for the future.

Keywords

Mathematical Model; Risk Measurement; Big Data Medical Analytics; Agriculture

References

[1] He Hongqing. Discussion on the application of Mathematical Model in financial Market [J]. Science and Technology Economic Market,2009(01). [2]Zhao Liqin. Research on Financial risk Measurement based on Copula function [D]. Xiamen University,2009. [3] Ma Wei. A method of financial risk measurement under the condition of Big Data [J]. Statistics and Decision,2015(02). [4] M. Blount, M. R. Ebling, J. M. Eklund, A. G. James, C. McGregor, N. Percival, K. P. Smith, and D. Sow, “Real-time analysis for intensive care: development and deploymentof the artemis analytic system,” Engineering in Medicine andBiology Magazine, IEEE, vol. 29, no. 2, pp. 110–118, 2010. [5] C. McGregor, “A cloud computing framework for real-timerural and remote service of critical care,” in Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on. IEEE, 2011, pp. 1–6. [6] G. Grimmett and D. Stirzaker, Probability and RandomProcesses, 3rded. Oxford University Press, Jul 2010. [7] H. Khazaei, J. Mi Rightsi´c, and V. B. Right Mi Rightsi´c, “Performance analysisof cloud computing centers using M/G/m/m + r queueing systems,” IEEE Transactions on Parallel and DistributedSystems, vol. 23, no. 5, p. 1, 2012. [8] Newling M, Fiechter RH, Sritharan L, Hoepel W, Burgsteden JA, Hak AE, et al. Dysregulated Fc gamma receptor IIa-induced cytokine production in dendritic cells of lupus nephritis patients. Clin Exp Immunol 2020; 39-199 (1) : 49. [9] Kronbichler A, Jayne D. Response to: ‘Prevention of infections in patients with antineutrophil cytoplasm antibody-associated vasculitis: potential role of hydroxychloroquine’by Novikovetal. Annals of the rheumatic diseases 2020; 79 (2):e20-e20.