Multi-label Classification Problem Analysis, Metrics and Techniques

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This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel data, as well as step by step instruction on how to use them. The main topics covered are: • The special characteristics of multi-labeled data and the metrics available to measure them.• The importance of taking advantage of label correlations to improve…

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Description

This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel data, as well as step by step instruction on how to use them. The main topics covered are: • The special characteristics of multi-labeled data and the metrics available to measure them.• The importance of taking advantage of label correlations to improve the results.• The different approaches followed to face multi-label classification.• The preprocessing techniques applicable to multi-label datasets.• The available software tools to work with multi-label data. This book is beneficial for professionals and researchers in a variety of fields because of the wide range of potential applications for multilabel classification. Besides its multiple applications to classify different types of online information, it is also useful in many other areas, such as genomics and biology. No previous knowledge about the subject is required. The book introduces all the needed concepts to understand multilabel data characterization, treatment and evaluation.

Langue
en
Version
Couverture rigide
Date de sortie initiale
22 août 2016
Nombre de pages
194
Illustrations
Avec illustrations

Personnes impliquées

Auteur principal

Francisco Herrera

Deuxième auteur

Francisco Charte

Coauteur

Maria J. del Jesus

Editeur principal

Springer International Publishing Ag

Informations sur le fabricant

Nom du fabricant
Springer Nature Customer Service Center GmbH
Adresse du fabricant
Europaplatz 3,69115 Heidelberg, Germany – 69115 – Heidelberg – DE
Adresse électronique du fabricant
ProductSafety@springernature.com
Informations sur le fabricant
Les informations du fabricant ne sont actuellement pas disponibles

Autres spécifications

Hauteur de l’emballage
235 mm
Largeur d’emballage
155 mm
Largeur du produit
155 mm
Livre d‘étude
Non
Longueur d’emballage
235 mm
Longueur du produit
235 mm
Poids de l’emballage
4439 g
Police de caractères extra large
Non
Édition
1st ed. 2016

EAN

EAN
9783319411101

Sécurité des produits

Opérateur économique responsable dans l’UE

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Catégories

Ordinateurs et Informatique

Technologies informatiques

Bases de données

Intelligence artificielle

Exploration de données

Livres

Livre, ebook ou livre audio ?

Livre

Disponibilité

Disponible à l’adresse suivante

Langue

Anglais

Type de livre

Hardcover

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