Semi-supervised and unsupervised machine learning: novel strategies
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Bibliographische Detailangaben
1. Verfasser: Albalate, Amparo (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: London ISTE 2011
Schlagworte:
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Beschreibung:"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 microarray data. Among those, the book focuses on a new application for dialog systems which can be thereby made adaptable and portable to different domains. Clustering evaluation metrics and new approaches, such as the ensembles of clustering algorithms, are also described"--
Includes bibliographical references and index
Beschreibung:1 Online-Ressource (x, 244 pages)
ISBN:9781118557693
1118557697
9781118586334
1118586336
9781118586136
1118586131
9781848212039
1848212038

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