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...
Clasificación: | Libro Electrónico |
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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,
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Temas: | |
Acceso en línea: | Texto Completo |
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