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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
Contrast Data Mining
Data Classification
Machine Learning Methods
Computational Methods in Biomedical Research
Computational Science and Its Applications
Advances in Machine Learning and Data Mining for Astronomy
Recent Advances in Ensembles for Feature Selection
Text Mining
Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
Statistical Data Mining and Knowledge Discovery
Computational Knowledge Discovery for Bioinformatics Research
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