Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Titre(s) : Multilabel classification [Texte électronique] : problem analysis, metrics and techniques / Francisco Herrera, Francisco Charte, Antonio J. Rivera, María J. del Jesus
Publication : [Cham] : Springer international publishing, cop. 2016
Description matérielle : 1 ressource dématérialisée
Comprend : Introduction ; Multilabel Classification ; Case Studies and Metrics ; Transformation
based Classifiers ; Adaptation based Classifiers ; Ensemble based Classifiers ;
Dimensionality Reduction ; Imbalance in Multilabel Datasets ; Multilabel Software.
Note(s) : Notes bibliogr.
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
Sujet(s) : Exploration de données
Classification automatique
Indice(s) Dewey :
006.312 (23e éd.) = Exploration des données (informatique)
Identifiants, prix et caractéristiques : ISBN 9783319411118. - ISBN 331941111X. - ISBN 9783319411101. - ISBN 3319411101
Identifiant de la notice : ark:/12148/cb453456471
Notice n° :
FRBNF45345647
(notice reprise d'un réservoir extérieur)
