A Novel DBSCAN Clustering Algorithm via Edge Computing-Based Deep Neural Network Model for Targeted Poverty Alleviation Big Data.
Hui LiuYang LiuZhenquan QinRan ZhangZheng ZhangLiao MuPublished in: Wirel. Commun. Mob. Comput. (2021)
Keyphrases
- big data
- neural network model
- clustering algorithm
- high dimensional input data
- neural network
- k means
- cloud computing
- social computing
- clustering method
- density based clustering
- spatial clustering
- data clustering
- vast amounts of data
- data analysis
- artificial neural networks
- data processing
- unstructured data
- data management
- social media
- high volume
- big data analytics
- density based clustering algorithm
- massive data
- data science
- business intelligence
- knowledge discovery
- cluster analysis
- data warehousing
- dynamic characteristics
- bp neural network
- data driven decision making
- fidelity term
- massive datasets
- predictive modeling
- fuzzy clustering
- machine learning
- data mining techniques
- data sets