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Semi-supervised and unsupervised machine learning [[electronic resource] ] : novel strategies / / Amparo Albalate, Wolfgang Minker



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Autore: Albalate Amparo Visualizza persona
Titolo: Semi-supervised and unsupervised machine learning [[electronic resource] ] : novel strategies / / Amparo Albalate, Wolfgang Minker Visualizza cluster
Pubblicazione: London, : ISTE
Hoboken, N.J., : Wiley, 2011
Edizione: 1st edition
Descrizione fisica: 1 online resource (256 p.)
Disciplina: 006.312
Soggetto topico: Data mining
Discourse analysis - Statistical methods
Speech processing systems
Computational intelligence
Soggetto genere / forma: Electronic books.
Altri autori: MinkerWolfgang  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: pt. 1. State of the art -- pt. 2. Approaches to semi-supervised classification -- pt. 3. Contributions to unsupervised classification, algorithms to detect the optimal number of clusters.
Sommario/riassunto: 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
Titolo autorizzato: Semi-supervised and unsupervised machine learning  Visualizza cluster
ISBN: 1-118-55769-7
1-299-13991-4
1-118-58633-6
1-118-58613-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910141493103321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: ISTE