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<DIV>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:</DIV><DIV><BR></DIV><DIV>· THE SPECIAL CHARACTERISTICS OF MULTI-LABELED DATA AND THE METRICS AVAILABLE TO MEASURE THEM.</DIV><DIV>· THE IMPORTANCE OF TAKING ADVANTAGE OF LABEL CORRELATIONS TO IMPROVE THE RESULTS.</DIV><DIV>· THE DIFFERENT APPROACHES FOLLOWED TO FACE MULTI-LABEL CLASSIFICATION.</DIV><DIV>· THE PREPROCESSING TECHNIQUES APPLICABLE TO MULTI-LABEL DATASETS.</DIV><DIV>· THE AVAILABLE SOFTWARE TOOLS TO WORK WITH MULTI-LABEL DATA.</DIV><DIV><BR></DIV><DIV>THIS BOOK IS BENEFICIAL FOR PROFESSIONALS AND RESEARCHERS IN A VARIETY OF FIELDS&NBSP;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.</DIV><DIV><BR></DIV>
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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.
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- Año de publicación2016
- ISBN 10 3319411101
- ISBN 13 9783319411101
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Multilabel Classification: Problem Analysis, Metrics and Techniques by Herrera, Francisco, Charte, Francisco, Rivera, Antonio J., del Jesus, MarÃa J. [Hardcover ]
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Multilabel Classification: Problem Analysis, Metrics and Techniques
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Multilabel Classification : Problem Analysis; Metrics and Techniques
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Multilabel Classification
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Descripción Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 fieldsbecause 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. 212 pp. Englisch. Nº de ref. del artículo: 9783319411101
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Descripción Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers key concepts of multilabel data characterization, treatment, and evaluationEquips the reader with all the software tools needed to handle multilabel data, including step-by-step instructions for useProvide. Nº de ref. del artículo: 121579828
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Multilabel Classification : Problem Analysis, Metrics and Techniques
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Descripción Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 fieldsbecause 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. Nº de ref. del artículo: 9783319411101
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