Uncertainty Modeling for Data Mining - Zengchang Qin - Books - Springer-Verlag Berlin and Heidelberg Gm - 9783642412509 - March 7, 2014
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Zengchang Qin
Uncertainty Modeling for Data Mining 2014 edition

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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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