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

Given the Covid-19 pandemic, the retail industry shifts many business models to enable more online purchases that produce large transaction data quantities (i.e., big data). Data science methods infer seasonal trends about products from this data and spikes in purchases, the effectiveness of adverti...

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Vydáno v:	2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) s. 248 - 253
Hlavní autoři:	Barakat, C., Riedel, M., Brynjolfsson, S., Cavallaro, G., Busch, J., Sedona, R.
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	Croatian Society MIPRO 27.09.2021
Témata:	Accelerators Data mining Data science Deep Learning Expert Systems High-Performance Computing Industries Parallel and Distributed Algorithms Retail data analysis Shape Supercomputers Tagging
ISSN:	2623-8764
On-line přístup:	Získat plný text
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