9783319979182 - hierarchical feature selection for knowledge discovery: application of data mining to the biology of ageing di wan (11 risultati)

Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
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Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
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Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
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Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
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Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
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Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 136 pages. 9.25x6.10x0.55 inches. In Stock.

Lingua: Inglese
Editore: Springer International Publishing, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 providesthe 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.

Lingua: Inglese
Editore: Springer, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Lingua: Inglese
Editore: Springer International Publishing Dez 2018, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 136 pp. Englisch.

Lingua: Inglese
Editore: Springer International Publishing, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
- Rilegato
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses the state of the art in hierarchical feature selection algorithms Reviews the applications of hierarchical feature selection algorithms to bioinformatics databases Surveys the applications of hier…archical feature selection algor.

Lingua: Inglese
Editore: Springer, Birkhäuser Dez 2018, 2018
Serie: Libro 56 di 66 - Advanced Information and Knowledge Processing
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 providesthe 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.