| Description |
1 online resource (xvi, 194 pages) : illustrations |
| Contents |
Introduction -- Multilabel Classification -- Case Studies and Metrics -- Transformation based Classifiers -- Adaptation based Classifiers -- Ensemble based Classifiers -- Dimensionality Reduction -- Imbalance in Multilabel Datasets -- Multilabel Software |
| Summary |
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: ℓ́Ø The special characteristics of multi-labeled data and the metrics available to measure them. ℓ́Ø The importance of taking advantage of label correlations to improve the results. ℓ́Ø The different approaches followed to face multi-label classification. ℓ́Ø The preprocessing techniques applicable to multi-label datasets. ℓ́Ø 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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed August 24, 2016) |
| Subject |
Classification rule mining.
|
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Artificial intelligence.
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Data mining.
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COMPUTERS -- General.
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Classification rule mining
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| Form |
Electronic book
|
| Author |
Herrera, Francisco, author
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Charte Ojeda, Francisco, author.
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Rivera, Antonio J., author
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Del Jesus, María J., author
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| ISBN |
9783319411118 |
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331941111X |
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