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.