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2018 | OriginalPaper | Chapter

Fuzzy Association Rules on Data with Undefined Values

Authors : Petra Murinová, Viktor Pavliska, Michal Burda

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications

Publisher: Springer International Publishing

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Abstract

Handling of missing values is a very common in data processing. However, data values may be missing not only because of lack of information, but also because of undefinedness (such as asking for the age of non-married person’s spouse). The aim of this paper is to propose an extension of fuzzy association rules framework for data with undefined values.

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Title: Fuzzy Association Rules on Data with Undefined Values
Authors: Petra Murinová
Viktor Pavliska
Michal Burda
Publisher: Springer International Publishing
Book: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications
Print ISBN: 978-3-319-91478-7

Electronic ISBN: 978-3-319-91479-4

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-91479-4_14

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