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Testing Modified Confusion Entropy as Split Criterion for Decision Trees Read chapter Read first chapter

2019 | OriginalPaper | Chapter

On the Influence of Admissible Orders in IVOVO

Authors : Mikel Uriz, Daniel Paternain, Humberto Bustince, Mikel Galar

Published in: Hybrid Artificial Intelligent Systems

Publisher: Springer International Publishing

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Abstract

It is known that when dealing with interval-valued data, there exist problems associated with the non-existence of a total order. In this work we investigate a reformulation of an interval-valued decomposition strategy for multi-class problems called IVOVO, and we analyze the effectiveness of considering different admissible orders in the aggregation phase of IVOVO. We demonstrate that the choice of an appropriate admissible order allows the method to obtain significant differences in terms of accuracy.

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previous chapter A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines
next chapter Does the Order of Attributes Play an Important Role in Classification?
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Metadata
Title
On the Influence of Admissible Orders in IVOVO
Authors
Mikel Uriz
Daniel Paternain
Humberto Bustince
Mikel Galar
Copyright Year
2019
Book
Hybrid Artificial Intelligent Systems

Print ISBN: 978-3-030-29858-6

Electronic ISBN: 978-3-030-29859-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-29859-3_31

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