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

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
Published in:	Wireless communications and mobile computing Vol. 2021; no. 1
Main Authors:	Liu, Hui, Liu, Yang, Qin, Zhenquan, Zhang, Ran, Zhang, Zheng, Mu, Liao
Format:	Journal Article
Language:	English
Published:	Oxford Hindawi 2021 John Wiley & Sons, Inc
Subjects:	Accuracy Algorithms Artificial intelligence Artificial neural networks Big Data Cloud computing Cluster analysis Clustering Data mining Data search Datasets Deep learning Density Edge computing Households Identification methods Machine learning Matching Neighborhoods Neural networks New technology Noise Poverty Villages
ISSN:	1530-8669, 1530-8677
Online Access:	Get full text
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