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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.
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2014
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2136162 |