Hierarchical Feature Selection for Knowledge Discovery

Name: Hierarchical Feature Selection for Knowledge Discovery
Brand: Springer International Publishing AG
SKU: 9783319979182
Price: 99.69 EUR
Availability: InStock

Application of Data Mining to the Biology of Ageing

Autor: Cen Wan

Jazyk:

Väzba: Pevná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

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99.69 €

This book is the first work that systematically describes the procedure of data mining and knowledge...

Informácie o knihe

Autor

Cen Wan

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2018

Stránok

120

EAN

9783319979182

ISBN

3319979183

Enbook ID

19762456

Vydavateľ

Springer International Publishing AG

Hmotnosť

354

Rozmery

242 x 162 x 11

Kompletný popis

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. Eight 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.

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Hierarchical Feature Selection for Knowledge Discovery

Application of Data Mining to the Biology of Ageing

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Kompletný popis

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