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Format: Hardcover

Language: English

Pages: 291

Publisher: Springer; 2014 edition (February 18, 2015)

ISBN: 3642412505

Format: PDF / Kindle / ePub

Size: 8.3 MB

Downloadable formats: PDF

laptop studying and knowledge mining are inseparably attached with uncertainty. The observable information for studying is mostly obscure, incomplete or noisy. Uncertainty Modeling for info Mining: A Label Semantics method introduces 'label semantics', a fuzzy-logic-based concept for modeling uncertainty. numerous new info mining algorithms in response to label semantics are proposed and validated on real-world datasets. A prototype interpretation of label semantics and new prototype-based info mining algorithms also are mentioned. This ebook bargains a invaluable source for postgraduates, researchers and different pros within the fields of information mining, fuzzy computing and uncertainty reasoning.Zengchang Qin is an affiliate professor on the institution of Automation technology and electric Engineering, Beihang collage, China; Yongchuan Tang is an affiliate professor on the university of machine technology, Zhejiang collage, China.

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