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Multilabel Classification

Problem Analysis, Metrics and Techniques

Francisco Herrera author Francisco Charte author Antonio J Rivera author María J del Jesus author

Format:Hardback

Publisher:Springer International Publishing AG

Published:22nd Aug '16

Currently unavailable, and unfortunately no date known when it will be back

Multilabel Classification cover

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.

ISBN: 9783319411101

Dimensions: unknown

Weight: 4439g

194 pages

1st ed. 2016