DQPFS: Distributed quadratic programming based feature selection for big data.
Majid SoheiliAmir-Masoud Eftekhari-MoghadamPublished in: J. Parallel Distributed Comput. (2020)
Keyphrases
- big data
- quadratic programming
- feature selection
- linear programming
- cloud computing
- support vector machine
- big data analytics
- commodity hardware
- data management
- data processing
- social media
- business intelligence
- data analysis
- data science
- knowledge discovery
- vast amounts of data
- feature extraction
- feature space
- text classification
- data warehousing
- databases
- data analytics
- svm classifier
- machine learning
- metadata
- massive datasets
- case study
- np hard
- support vector
- dimensionality reduction
- data warehouse
- artificial neural networks