Enhanced feature selection technique using slime mould algorithm: a case study on chemical data.
Ahmed A. EweesMohammed Abdulaziz Aide Al-qanessLaith AbualigahZakariya Yahya AlgamalDiego OlivaDalia YousriMohamed Abd ElazizPublished in: Neural Comput. Appl. (2023)
Keyphrases
- input data
- feature selection
- noisy data
- irrelevant features
- learning algorithm
- data analysis
- preprocessing
- data sources
- data sets
- computational complexity
- data reduction
- np hard
- detection algorithm
- missing data
- dynamic programming
- similarity measure
- probabilistic model
- labeled data
- incomplete data
- feature subset
- knowledge discovery
- synthetic datasets
- high dimensional data
- segmentation algorithm
- data mining techniques
- worst case
- semi supervised
- database
- optimal solution
- training data
- neural network
- text classification
- probability distribution
- cost function
- original data
- search space
- data structure
- feature selection algorithms
- objective function
- relevant attributes