Survey of Deep-Learning Techniques in Big-Data Analytics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09793-w.pdf
Reference57 articles.
1. Dai, J. J., Wang, Y., Qiu, X., Ding, D., Zhang, Y., Wang, Y., et al. (2019). Bigdl: A distributed deep learning framework for big data, in Proceedings of the ACM Symposium on Cloud Computing, pp. 50–60. https://doi.org/10.1145/3357223.3362707
2. Sun, M., Konstantelos, I., & Strbac, G. (2018). A deep learning-based feature extraction framework for system security assessment. IEEE transactions on smart grid, 10, 5007–5020. https://doi.org/10.1109/TSG.2018.2873001
3. Davenport, T. H. (2018). From analytics to artificial intelligence. Journal of Business Analytics, 1, 73–80. https://doi.org/10.1080/2573234X.2018.1543535
4. Deng, L., & Yu, D. (2014). Deep learning: methods and applications. Foundations and trends in signal processing, vol. 7, pp. 197–387, https://doi.org/10.1561/2000000039
5. Kratzwald, B., Ilić, S., Kraus, M., Feuerriegel, S., & Prendinger, H. (2018). Deep learning for affective computing: Text-based emotion recognition in decision support,. Decision Support Systems, 115, 24–35. https://doi.org/10.1016/j.dss.2018.09.002
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