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Uncertainty Modeling for Data Mining Zengchang Qin 2014 edition
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Uncertainty Modeling for Data Mining
Zengchang Qin
Machine learning and data mining are inseparably connected with uncertainty. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty.
291 pages, biography
| Media | Böcker Bok |
| Releasedatum | 7 mars 2014 |
| ISBN13 | 9783642412509 |
| Utgivare | Springer-Verlag Berlin and Heidelberg Gm |
| Antal sidor | 291 |
| Mått | 242 × 165 × 25 mm · 616 g |
| Språk | Engelska |
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