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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/38989
Title: Anomaly detection using autoencoder for data quality monitoring in cloud
Authors: Dzik, C. S.
Piletski, I. I.
Keywords: материалы конференций;anomaly detection;autoencoder;artificial neural network;multilayer perceptron
Issue Date: 2020
Publisher: Беспринт, РБ
Citation: Dzik, C. S. Anomaly detection using autoencoder for data quality monitoring in cloud / C. S. Dzik, I. I. Pilecki // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня: сб. материалов VI Междунар. науч.-практ. конф., Минск, 20-21 мая 2020 года: в 3 ч. Ч. 1 / редкол.: В. А. Богуш [и др.]. – Минск : Бестпринт, 2020. – С. 170–175.
Abstract: Many works are dedicated to solving the data quality problem, a number of standards have been developed, but the problem has not been solved for decades. Moreover, the problem now requires a more complex solution due to processing large amounts of unstructured data in the cloud. This work presents the original project Autoencoder that focuses on the technology of analysis, detection and forecasting poor-quality data transmission based on machine learning and the use of neural networks.
URI: https://libeldoc.bsuir.by/handle/123456789/38989
ISBN: 978-985-90533-7-5
Appears in Collections:BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня (2020)

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