Open Access
| Issue |
SHS Web Conf.
Volume 165, 2023
The 2nd International Conference on Creative Industries and Knowledge Economy (CIKE 2023)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 5 | |
| Section | Creative Industry Development and Brand Management | |
| DOI | https://doi.org/10.1051/shsconf/202316501009 | |
| Published online | 03 May 2023 | |
- H. L. Jiang, “Research on knowledge management system for defense science and technology intelligence in big data environment, ” Journal of China Academy of Electronics and Information Technology, vol. 11, pp. 245-249, June 2016. [Google Scholar]
- C. S. Wu, B. Zhou, and Y. J. Liu, et al, “Research and application of information mining system based on intelligent processing of big data, ” Hunan Province: Hunan Institute of Science and Technology Information, November 2017. [Google Scholar]
- H. Feng, and J. X. Zhang, “Automatic information processing platform based on big data, ” The Journal of New Industrialization, vol. 9, pp. 59-64, April 2019. [Google Scholar]
- H. M. Guo, “Research and design of information mining system supporting personalized recommendation, ” M.S Dissertation, Nanjing University of Science and Technology, 2013. [Google Scholar]
- J. Chen, “Military information management and data mining system based on VC, ” M.S Dissertation, Xidian University, 2012. [Google Scholar]
- H. Zou, “Study on crucial technology of real-time dynamic hand gesture recognition, ” M.S Dissertation, South China University of Technology, 2011. [Google Scholar]
- C. Yi, “Study on reconstruction of the enterprise’s competitive intelligence system based on Web mining, ” M.S Dissertation, South China University of Technology, 2011. [Google Scholar]
- C. Fu, and J. Q. Song, “Design and realization of Web military intelligence mining system based on document clustering”, Journal of China Academy of Electronics and Information Technology, vol. 10, pp. 541-545, October 2015. [Google Scholar]
- X. B. Tang, Z. Liu, and S. G. Li, “An application and research on human computer interaction based on clustering algorithm of user’s character, ” Information Technology and Informatization, vol. 33, pp. 28-29, August 2008. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.