- 440 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Computational Methods of Feature Selection
About this book
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
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Yes, you can access Computational Methods of Feature Selection by Huan Liu,Hiroshi Motoda in PDF and/or ePUB format, as well as other popular books in Economics & Data Mining. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Halftitle Page
- Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
- Title Page
- Copyright Page
- Preface
- Acknowledgments
- Contributors
- Contents
- Part I: Introduction and Background
- Part II: Extending Feature Selection
- Part III: Weighting and Local Methods
- Part IV: Text Classification and Clustering
- Part V: Feature Selection in Bioinformatics
- Index