Hierarchical Feature Selection for Knowledge Discovery Application of Data Mining to the Biology of Ageing /

• Main Author: Wan, Cen (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Advanced Information and Knowledge Processing,
• Subjects: Data mining.; Bioinformatics.; Systems biology.; Artificial intelligence.; Data Mining and Knowledge Discovery.; Computational Biology/Bioinformatics.; Systems Biology.; Artificial Intelligence.

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...

Table of Contents:

• 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.