Cen Wan

(Author)

Hierarchical Feature Selection for Knowledge Discovery: Application of Data Mining to the Biology of Ageing (2019)Hardcover - 2019, 12 December 2018

Hierarchical Feature Selection for Knowledge Discovery: Application of Data Mining to the Biology of Ageing (2019)
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Part of Series
Advanced Information and Knowledge Processing
Part of Series
Springerbriefs in Advanced Information and Knowledge Process
Print Length
120 pages
Language
English
Publisher
Springer
Date Published
12 Dec 2018
ISBN-10
3319979183
ISBN-13
9783319979182

Description

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 hierarchical feature selection in depth, which is generally a novel research area in Data Mining/Machine Learning. Seven different state-of-the-art hierarchical feature selection algorithms are discussed and evaluated by working with four types of interpretable classification algorithms (i.e. three types of Bayesian network classification algorithms and the k-nearest neighbours classification algorithm). Moreover, this book discusses the application of those hierarchical feature selection algorithms on the well-known Gene Ontology database, where the entries (terms) are hierarchically structured. Gene Ontology database that unifies the representations of gene and gene products annotation provides the resource for mining valuable knowledge about certain biological research topics, such as the Biology of Ageing. Furthermore, this book discusses the mined biological patterns by the hierarchical feature selection algorithms relevant to the ageing-associated genes. Those patterns reveal the potential ageing-associated factors that inspire future research directions for the Biology of Ageing research.

Product Details

Author:
Cen Wan
Book Edition:
2019
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
12 December 2018
Dimensions:
23.39 x 15.6 x 0.97 cm
ISBN-10:
3319979183
ISBN-13:
9783319979182
Language:
English
Location:
Cham
Pages:
120
Publisher:
Weight:
371.95 gm

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