Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Amparo Albalate,?University of Ulm, Institute of Information Technology, Germany.
Wolfgang Minker, University of Ulm, Institute of Information Technology, Germany.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Semi-Supervised and Unsupervised Machine Learning: Novel Strategies (Iste)
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Semi-Supervised and Unsupervised Machine Learning: Novel Strategies (Iste)
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Statistical Spoken Language Understanding Systems Format: Hardcover
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Semi-Supervised and Unsupervised Machine Learning (Hardcover)
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Hardcover. Condizione: new. Hardcover. 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. * Provides a detailed and up-to-date overview on classification and data mining methods. * Focuses on supervised classification algorithms and their applications, including recent research on the combination of classifiers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781848212039
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Statistical Spoken Language Understanding Systems
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Condizione: New. * Provides a detailed and up-to-date overview on classification and data mining methods. * Focuses on supervised classification algorithms and their applications, including recent research on the combination of classifiers. Num Pages: 254 pages, Illustrations. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 234 x 162 x 19. Weight in Grams: 510. . 2010. . . . . Codice articolo V9781848212039
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