Uncertainty Modeling for Data Mining A Label Semantics Approach /

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling un...

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Main Author: Qin, Zengchang.
Corporate Author: SpringerLink (Online service)
Other Authors: Tang, Yongchuan.
Format: Electronic
Language: English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : 2014.
Series: Advanced Topics in Science and Technology in China,
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-41251-6
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