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Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issues, Computational Methods of Feature Selection introduces the
Advances in Feature Selection for Data and Pattern Recognition
Data Classification
Contrast Data Mining
Machine Learning Methods
Computational Methods in Biomedical Research
Recent Advances in Ensembles for Feature Selection
Computational Science and Its Applications
Text Mining
Advances in Machine Learning and Data Mining for Astronomy
Data Analytics, Computational Statistics, and Operations Research for Engineers
Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations
Statistical Data Mining and Knowledge Discovery