APA (7th ed.) Citation

Barakat, C., Riedel, M., Brynjolfsson, S., Cavallaro, G., Busch, J., & Sedona, R. (2021, September 27). Design and Evaluation of an HPC-based Expert System to speed-up Retail Data Analysis using Residual Networks Combined with Parallel Association Rule Mining and Scalable Recommenders. 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), 248-253. https://doi.org/10.23919/MIPRO52101.2021.9596796

Chicago Style (17th ed.) Citation

Barakat, C., M. Riedel, S. Brynjolfsson, G. Cavallaro, J. Busch, and R. Sedona. "Design and Evaluation of an HPC-based Expert System to Speed-up Retail Data Analysis Using Residual Networks Combined with Parallel Association Rule Mining and Scalable Recommenders." 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) 27 Sep. 2021: 248-253. https://doi.org/10.23919/MIPRO52101.2021.9596796.

MLA (9th ed.) Citation

Barakat, C., et al. "Design and Evaluation of an HPC-based Expert System to Speed-up Retail Data Analysis Using Residual Networks Combined with Parallel Association Rule Mining and Scalable Recommenders." 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), 27 Sep. 2021, pp. 248-253, https://doi.org/10.23919/MIPRO52101.2021.9596796.