Growth Scale Prediction of Big Data for Information Systems Based on a Deep Learning SAEP Method

Growth Scale Prediction of Big Data for Information Systems Based on a Deep Learning SAEP Method

With the explosive growth of big data in various application areas, it is becoming very important for information management system to know the real-time growth change and the long-term increasing trend of big data. Thus, in this paper, we propose a big data growth scale prediction method based on d...

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Bibliographic Details
Main Authors: Wenjuan Liu, Guosun Zeng, Kekun Hu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Big data
information system
growth scale prediction
deep learning
stacked autoencoders (SAE)
Online Access:https://ieeexplore.ieee.org/document/8960659/

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