Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods.
Sepideh FahimifarKhadijeh MousaviFatemeh MozaffariMarcel AusloosPublished in: CoRR (2023)
Keyphrases
- data mining methods
- feature selection
- feature set
- feature selection algorithms
- selected features
- data mining
- feature extraction
- feature space
- machine learning approaches
- classification accuracy
- irrelevant features
- data mining techniques
- feature subset
- special issue
- informative features
- decision trees
- text categorization
- discriminative features
- high dimensionality
- selecting features
- feature vectors
- variable selection
- redundant features
- unsupervised feature selection
- classification models
- information gain
- neural network
- feature ranking
- customer segmentation
- data mining and machine learning
- predictive modeling
- feature weighting
- model selection
- data structure
- support vector machine
- training set
- association rules