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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
| Mediji | Grāmatas Book |
| Izlaists | 2014. gada 7. marts |
| ISBN13 | 9783642412509 |
| Izdevēji | Springer-Verlag Berlin and Heidelberg Gm |
| Lapas | 291 |
| Izmēri | 242 × 165 × 25 mm · 616 g |
| Valoda | Angļu |
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