Multilabel Classification
Problem Analysis, Metrics and Techniques
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ISBN-13:
9783319822693
Veröffentl:
2018
Einband:
Paperback
Erscheinungsdatum:
22.04.2018
Seiten:
212
Autor:
Francisco Herrera
Gewicht:
330 g
Format:
235x155x12 mm
Sprache:
Englisch
Beschreibung:
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:
Covers key concepts of multilabel data characterization, treatment, and evaluation
Introduction.- Multilabel Classification.- Case Studies and Metrics.- Transformation based Classifiers.- Adaptation based Classifiers.- Ensemble based Classifiers.- Dimensionality Reduction.- Imbalance in Multilabel Datasets.- Multilabel Software.
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