Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-022-03568-5.pdf
Reference176 articles.
1. Khan, S., Shakil, K., Alam, M.: PABED a tool for big education data analysis. In: IEEE International Conference on Industrial Technology (ICIT), pp. 1808.00334 (2019)
2. Vidhya, K., Shanmugalakshmi, R.: Modified adaptive neuro-fuzzy inference system (M-ANFIS) based multi-disease analysis of healthcare Big Data. J. Supercomput. 76, 1–22 (2020)
3. Chiroma, H., Herawan, T.: Soft computing approach for predicting OPEC countries’ oil consumption. Int. J. Oil Gas Coal Technol. 15, 298–316 (2017). https://doi.org/10.1504/IJOGCT.2017.10005334
4. Yang, R., Yu, L., Zhao, Y., Yu, H., Xu, G., Wu, Y.: Big data analytics for financial market volatility forecast based on support vector machine. Int. J. Inf. Manag. 50, 452–462 (2020). https://doi.org/10.1016/j.ijinfomgt.2006.01.003
5. Limba, T.: Industry 4.0 and national security: the phenomenon of disruptive technology. Entrep. Sustain. Issues 6, 1528–1535 (2019)
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