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Uncertainty modeling for data mining: a label semantics approach

Outlining a new research direction in fuzzy set theory applied to data mining, this volume proposes a number of new data mining algorithms and includes dozens of figures and illustrations that help the reader grasp the complexities of the concepts.

Detalles Bibliográficos
Autores principales: Qin, Zengchang, Tang, Yongchuan
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/2136162