An Efficient Parallel Hybrid Feature Selection Approach for Big Data Analysis.
Mohamed Amine AzaizDjamel Amar BensaberPublished in: Int. J. Swarm Intell. Res. (2022)
Keyphrases
- feature selection
- data analysis
- big data
- machine learning
- text categorization
- data pre processing
- data mining
- parallel genetic algorithm
- support vector
- parallel processing
- irrelevant features
- mutual information
- unsupervised learning
- computationally efficient
- feature extraction
- genetic algorithm
- massively parallel
- shared memory
- decision trees
- parallel implementation
- hybrid learning
- selected features
- distributed memory
- unsupervised feature selection
- data sets
- data reduction
- biological data
- multi task
- business intelligence
- model selection
- feature set
- dimensionality reduction
- data warehouse
- semi supervised
- knowledge discovery