Semi-Supervised and Unervised Machine Learning: Novel Strategies PDF (Adobe DRM) download by Amparo Albalate

Semi-Supervised and Unervised Machine Learning: Novel Strategies

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Wiley-ISTE
Publication date: January 2013
ISBN: 9781118586334
Digital Book format: PDF (Adobe DRM)

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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.
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Semi-Supervised and Unervised Machine Learning: Novel Strategies PDF (Adobe DRM) download by Amparo Albalate
Wiley-ISTE, January 2013
ISBN: 9781118586334
EAN:  9781118586334
PDF (Adobe DRM)
eBook price: $84.99
Semi-Supervised and Unervised Machine Learning: Novel Strategies ePub (Adobe DRM) download by Amparo Albalate
Wiley-ISTE, January 2013
ISBN: 9781118586136
EAN:  9781118586136
ePub (Adobe DRM)
eBook price: $84.99