Open Access
| Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
|---|---|---|
| Article Number | 02029 | |
| Number of page(s) | 4 | |
| Section | Big Data Environment Management Application and Industry Research | |
| DOI | https://doi.org/10.1051/e3sconf/202125302029 | |
| Published online | 06 May 2021 | |
- V. Mayer-Schonberger, “Big Data: A Revolution That Will Transform How We Live, Work, and Think,” Hodder, 2013, pp. 69–91. [Google Scholar]
- A. Luckow, K. Kennedy, and F. Manhardt, “Automotive big data: Applications, workloads and infrastructures,” 2015 IEEE Internationl Conference on Big Data (Big Data), 2015, pp. 1201–1210. [Google Scholar]
- Z. Xianglei, Z. Shuai, and Z. Lu, “Research on Data Integration of Automobile Industry Chain Driven by Big Data,” Research on Automobile Industry, pp. 4–11, Jan. 2016. [Google Scholar]
- J. Zhaocai, S. Ning, and S. Li, “Preliminary Study on the Application method of Big data Analysis in the Risk Assessment of Product Quality Information,” Standards Science, pp. 182–186, Dec 2017. [Google Scholar]
- L. Guiru, M. Lingxiang, W. Lulin, and S. Zou, “Automotive prospective technology mining method based on big data content analysis,” 2017 2nd IEEE International Conference on Cloud Computing and Big Data Analysis, 2017, pp. 171–174. [Google Scholar]
- J. Tian, N. Sun, F. Fei, L. Song, S. Xu, “Design of Vehicle Defect Risk Assessment System based on Multi-source Information Fusion,” 2019 2nd International Conference on Safety Produce Informatization, 2019, pp. 546–551. [Google Scholar]
- H. Xiaoyan, “Research on the evolution mechanism of the electric vehicle market driven by big data,” Concurrency and Computation: Practice and Experience, 2020. [Google Scholar]
- L. Song, N. Sun, Y. Yao, W. Zhang, and L. Chi, “Application of Data Mining Technology in the Recall of Defective Automobile Products in China-A Typical Case of the Construction of Digital China,” 2019 2nd International Conference on Safety Produce Informatization, 2019, pp. 541–545. [Google Scholar]
- A. Petrillo, A. Picariello, S. Santini, B. Scarciello, and G. Sperli, “Model-based vehicular prognostics framework using Big Data architecture,” Computers in Industry, vol. 115, pp. 103–177, 2020. [Google Scholar]
- S. Lv, “Design of the automobile marketing system based on the big data,” 2020 International Conference on Big Data Analytics for Cyber-Physical System in Smart City, 2020, pp. 1713–1719. [Google Scholar]
- G. Yuming, H. Qingwen, W. Miaqiong, Z. Lingqiu, and L. Lu, “Application Model and Challenge Analysis of Automotive Big Data,” Computer Science, vol. 47(06), pp. 59–65, 2020. [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.