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...
Otros Autores: | |
---|---|
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 |
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 |