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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 | Books Book |
| Released | March 7, 2014 |
| ISBN13 | 9783642412509 |
| Publishers | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 291 |
| Dimensions | 242 × 165 × 25 mm · 616 g |
| Language | English |
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