Semi-supervised and unsupervised machine learning novel strategies
This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
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London : Hoboken, N.J. :
ISTE ; Wiley
2011.
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| Colección: | International Society for Technology in Education.
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628265606719 |
| Sumario: | This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention to text mining. Discovering the underlying structure on a data set has been a key research topic associated to unsupervised techniques with multiple applications and challenges, from web-content mining to the inference of cancer subtypes in genomic mic |
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| Notas: | Description based upon print version of record. |
| Descripción Física: | 1 online resource (320 pages) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781118557693 9781299139916 9781118586334 9781118586136 |
