Francisco Herrera

(Author)

Multilabel Classification: Problem Analysis, Metrics and Techniques (2016)Hardcover - 2016, 22 August 2016

Multilabel Classification: Problem Analysis, Metrics and Techniques (2016)
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Print Length
194 pages
Language
English
Publisher
Springer
Date Published
22 Aug 2016
ISBN-10
3319411101
ISBN-13
9783319411101

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.

Product Details

Authors:
Francisco HerreraFrancisco CharteAntonio J RiveraMaría J del Jesus
Book Edition:
2016
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
22 August 2016
Dimensions:
23.39 x 15.6 x 1.27 cm
ISBN-10:
3319411101
ISBN-13:
9783319411101
Language:
English
Location:
Cham
Pages:
194
Publisher:
Weight:
476.27 gm

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