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Multilabel Classification

Problem Analysis, Metrics and Techniques

Authors: Herrera, F., Charte, F., Rivera, A.J., del Jesus, M.J.

  • Covers key concepts of multilabel data characterization, treatment, and evaluation
  • Equips the reader with all the software tools needed to handle multilabel data, including step-by-step instructions for use
  • Provides the perfect guide for beginners and practitioners with interest in the topic, as well as experts seeking a comprehensive overview 
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Buy this book

eBook 89,99 €
price for Spain (gross)
  • ISBN 978-3-319-41111-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 119,59 €
price for Spain (gross)
  • ISBN 978-3-319-41110-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

Table of contents (9 chapters)

  • Introduction

    Herrera, Francisco (et al.)

    Pages 1-16

    Preview Buy Chapter 30,19 €
  • Multilabel Classification

    Herrera, Francisco (et al.)

    Pages 17-31

    Preview Buy Chapter 30,19 €
  • Case Studies and Metrics

    Herrera, Francisco (et al.)

    Pages 33-63

    Preview Buy Chapter 30,19 €
  • Transformation-Based Classifiers

    Herrera, Francisco (et al.)

    Pages 65-79

    Preview Buy Chapter 30,19 €
  • Adaptation-Based Classifiers

    Herrera, Francisco (et al.)

    Pages 81-99

    Preview Buy Chapter 30,19 €

Buy this book

eBook 89,99 €
price for Spain (gross)
  • ISBN 978-3-319-41111-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 119,59 €
price for Spain (gross)
  • ISBN 978-3-319-41110-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Multilabel Classification
Book Subtitle
Problem Analysis, Metrics and Techniques
Authors
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-41111-8
DOI
10.1007/978-3-319-41111-8
Hardcover ISBN
978-3-319-41110-1
Edition Number
1
Number of Pages
XVI, 194
Number of Illustrations and Tables
72 b/w illustrations
Topics