Big Data Dimensionality Reduction for Wireless Sensor Networks Using Stacked Autoencoders.
Muneeba SirsharSajid SaleemMuhammad U. IlyasMuhammad Murtaza KhanMohammed Saeed AlkatheiriJalal S. AlowibdiPublished in: RIIFORUM (2019)
Keyphrases
- big data
- dimensionality reduction
- wireless sensor networks
- denoising
- cloud computing
- sensor networks
- data processing
- high dimensional
- low dimensional
- high dimensional data
- energy consumption
- data management
- principal component analysis
- data analysis
- social media
- big data analytics
- pattern recognition
- data points
- data science
- business intelligence
- high volume
- feature extraction
- feature selection
- unstructured data
- knowledge discovery
- feature space
- vast amounts of data
- massive data
- manifold learning
- real world
- data analytics
- data mining
- data warehousing
- machine learning
- data integration
- image processing
- health informatics
- user interface
- data warehouse