Supervised Aggregative Feature Extraction for Big Data Time Series Regression.
Gian Antonio SustoAndrea SchirruSimone PampuriSeán F. McLoonePublished in: IEEE Trans. Ind. Informatics (2016)
Keyphrases
- big data
- feature extraction
- multi variate
- feature selection
- cloud computing
- data processing
- data analysis
- data management
- unstructured data
- social media
- data intensive
- high volume
- supervised learning
- knowledge discovery
- big data analytics
- massive datasets
- semi supervised
- model selection
- massive data
- dimension reduction
- data science
- principal component analysis
- support vector regression
- business intelligence
- vast amounts of data
- face recognition
- dimensionality reduction
- huge data
- information processing
- case study
- data intensive computing
- feature space
- manifold learning
- data driven decision making
- data sets
- predictive modeling
- software engineering
- data warehouse
- information technology
- data mining