Research on visualisation transmission method for business innovation strategy data based on structural characteristics

被引：0
作者：
Hu J. [1 ]
机构：
[1] Office of Admission and Employment, Jiaozuo Teachers College, Jiaozuo
来源：
International Journal of Information Technology and Management | 2022年 / 21卷 / 2-3期
关键词：
business innovation; strategic data; structural characteristics; visualisation transmission;
D O I：
10.1504/IJITM.2022.123403
中图分类号：
学科分类号：
摘要：
In order to overcome the problems of low transfer accuracy and user satisfaction existing in the existing data visualisation transfer methods, this paper proposes a data visualisation transfer method of business innovation strategy based on structural features. The similarity calculation method of structure feature tree is used to realise the data structure feature processing. The sub-trees of all non-isomorphic patterns of K nodes are constructed. The number of isomorphic sub-trees is calculated in the tree, and the transfer data division is completed. Based on the basic program of business intelligence, the original data of business innovation strategy is processed, converted into various types of visualisation structure data, and transmitted to relevant personnel in online form to complete the visualisation transmission of business innovation strategy data. The experimental results show that the proposed method is more accurate, up to 99.3%, and users are more satisfied. © 2022 Inderscience Enterprises Ltd.. All rights reserved.
引用
收藏
页码：233 / 247
页数：14
相关论文
共 21 条
  • [1] Chen W.B., Song M.J., Wang T.C., A data visualization method based on extreme learning machine, Computer Engineering and Science, 39, 5, pp. 912-918, (2017)
  • [2] Chen W.W., Wu K.C., Research and application of massive DNS log data analysis and visualization, Application Research of Computers, 33, 2, pp. 335-338, (2016)
  • [3] Cui D., Guo X.Y., Chen W., Challenges and recent progress in big data visualization, Journal of Computer Applications, 37, 7, pp. 2044-2049, (2017)
  • [4] Dai W., Wu J.Z., Cai J.Y., Shen F., Visual expression software of GPS data quality based on TEQC, Science of Surveying and Mapping, 41, 11, pp. 184-188, (2016)
  • [5] Du J.L., Yu Y.N., Research on NC data visualization verification system based on SSH framework, Modern Electronics Technique, 41, 2, pp. 166-169, (2018)
  • [6] Hong D.D., Li F., Yao L., Xu M., Suo Z.H., Design and implementation of a fast data visualization framework for e-learning behavior analysis, Microelectronics & Computer, 35, 7, pp. 12-18, (2018)
  • [7] Jin Y.R., Ji S.F., Yu J.N., A visual analysis of hot spots and their evolution of business model innovation, Science Research Management, 39, 7, pp. 50-58, (2018)
  • [8] Li L., Realization mechanism of network security data visualization fusion, Modern Electronics Technique, 39, 14, pp. 57-60, (2016)
  • [9] Li W.B., Occurrence mechanism of business model innovation in big data-driven context - discourse analysis based on 100 big data cases, Science & Technology Progress and Policy, 33, 7, pp. 30-35, (2016)
  • [10] Liu Y., Geng Y.T., Brief analysis of commercial secret protection in the background of big data, Journal of Beijing University of Technology (Social Sciences Edition), 17, 3, pp. 58-64, (2017)
123