Data classification algorithms and applications

This book homes in on three primary aspects of data classification: the core methods for data classification including probabilistic classification, decision trees, rule-based methods, and SVM methods; different problem domains and scenarios such as multimedia data, text data, biological data, categ...

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Detalles Bibliográficos
Otros Autores: Aggarwal, Charu C., editor (editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press [2015]
Edición:1st edition
Colección:Chapman & Hall/CRC data mining and knowledge discovery series ; Volume 35.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628733106719
Descripción
Sumario:This book homes in on three primary aspects of data classification: the core methods for data classification including probabilistic classification, decision trees, rule-based methods, and SVM methods; different problem domains and scenarios such as multimedia data, text data, biological data, categorical data, network data, data streams and uncertain data: and different variations of the classification problem such as ensemble methods, visual methods, transfer learning, semi-supervised methods and active learning. These advanced methods can be used to enhance the quality of the underlying classification results--
Notas:Description based upon print version of record.
Descripción Física:1 online resource (704 p.)
Bibliografía:Includes bibliographical references.
ISBN:9781498760584
9780429102639
9781466586741