How to compare uncertain data types: towards robust similarity measures

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How to compare uncertain data types: towards robust similarity measures

In view of the importance of effective comparison of uncertain data in real-world applications, this thesis focuses on developing new similarity measures with high accuracy. As it identifies and articulates an inherent limitation of the popular set-theoretic similarity measures for continuous interv...

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Bibliographic Details
Main Author:	Kabir, Shaily
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2020
Online Access:	https://eprints.nottingham.ac.uk/59792/

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