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Multilabel Classification Problem Analysis, Metrics and Techniques /
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 w...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-41111-8 | ||
| 003 | DE-He213 | ||
| 005 | 20220120175628.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160809s2016 sz | s |||| 0|eng d | ||
| 020 | |a 9783319411118 |9 978-3-319-41111-8 | ||
| 024 | 7 | |a 10.1007/978-3-319-41111-8 |2 doi | |
| 050 | 4 | |a QA76.9.D343 | |
| 072 | 7 | |a UNF |2 bicssc | |
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| 072 | 7 | |a COM021030 |2 bisacsh | |
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| 082 | 0 | 4 | |a 006.312 |2 23 |
| 100 | 1 | |a Herrera, Francisco. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Multilabel Classification |h [electronic resource] : |b Problem Analysis, Metrics and Techniques / |c by Francisco Herrera, Francisco Charte, Antonio J. Rivera, María J. del Jesus. |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2016. | |
| 300 | |a XVI, 194 p. 72 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Introduction -- Multilabel Classification -- Case Studies and Metrics -- Transformation based Classifiers -- Adaptation based Classifiers -- Ensemble based Classifiers -- Dimensionality Reduction -- Imbalance in Multilabel Datasets -- Multilabel Software. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 700 | 1 | |a Charte, Francisco. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Rivera, Antonio J. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a del Jesus, María J. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319411101 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319411125 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319822693 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-41111-8 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||