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Pattern recognition algorithms for data mining: scalability, knowledge discovery and soft granular computing
Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and eva...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
CRC Press
2004
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| Acceso en línea: | http://cds.cern.ch/record/824103 |