Uncertainty Modeling for Data Mining A Label Semantics Approach /

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling un...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Qin, Zengchang (Autor), Tang, Yongchuan (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Advanced Topics in Science and Technology in China,
Temas:
Data mining.
Artificial intelligence.
Computer networks .
Computer science-Mathematics.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer Communication Networks.
Mathematical Applications in Computer Science.
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