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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Wireless communications and mobile computing Ročník 2021; číslo 1
Hlavní autoři:	Liu, Hui, Liu, Yang, Qin, Zhenquan, Zhang, Ran, Zhang, Zheng, Mu, Liao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Hindawi 2021 John Wiley & Sons, Inc
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!