A Novel DBSCAN Clustering Algorithm via Edge Computing-Based Deep Neural Network Model for Targeted Poverty Alleviation Big Data

A Novel DBSCAN Clustering Algorithm via Edge Computing-Based Deep Neural Network Model for Targeted Poverty Alleviation Big Data

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Big data technology has been developed rapidly in recent years. The performance improvement mechanism of targeted poverty alleviation is studied through the big data technology to further promote the comprehensive application of big data technology in poverty alleviation and development. Using the d...

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Bibliographic Details
Main Authors: Liu, H. (Author), Liu, Y. (Author), Mu, L. (Author), Qin, Z. (Author), Zhang, R. (Author), Zhang, Z. (Author)
Format: Article
Language:English
Published: Hindawi Limited 2021
Series:Wireless Communications and Mobile Computing
Subjects:
Big data
Clustering algorithms
Data mining
Data technologies
Decision support systems
Decision supports
Deep neural networks
Different densities
Edge computing
Identification method
Improvement mechanism
Intelligent identification
Neural network model
Neural networks
Population statistics
Poverty alleviation
Rural areas
Wages
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