Hierarchical Feature Selection for Knowledge Discovery Application of Data Mining to the Biology of Ageing /
This book is the first work that systematically describes the procedure of data mining and knowledge discovery on Bioinformatics databases by using the state-of-the-art hierarchical feature selection algorithms. The novelties of this book are three-fold. To begin with, this book discusses the hierar...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Σειρά: | Advanced Information and Knowledge Processing,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Data Mining Tasks and Paradigms
- Feature Selection Paradigms
- Background on Biology of Ageing and Bioinformatics
- Lazy Hierarchical Feature Selection
- Eager Hierarchical Feature Selection
- Comparison of Lazy and Eager Hierarchical Feature Selection Methods and Biological Interpretation on Frequently Selected Gene Ontology Terms Relevant to the Biology of Ageing
- Conclusions and Research Directions.