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Hypergraph-based importance assessment for binary classification data

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Main Authors: Pawel, Misiorek, Szymon, Janowski
Format: Book
Language:English
Published: Springer 2023
Subjects:
Hypergraph-based Importance
hypergraph-based framework
Online Access:https://link.springer.com/article/10.1007/s10115-022-01786-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7353
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spelling oai:localhost:PNK-73532023-03-31T01:23:41Z Hypergraph-based importance assessment for binary classification data Pawel, Misiorek Szymon, Janowski Hypergraph-based Importance hypergraph-based framework CC BY We present a novel hypergraph-based framework enabling an assessment of the importance of binary classification data elements. Specifically, we apply the hypergraph model to rate data samples’ and categorical feature values’ relevance to classification labels. The proposed Hypergraph-based Importance ratings are theoretically grounded on the hypergraph cut conductance minimization concept. As a result of using hypergraph representation, which is a lossless representation from the perspective of higher-order relationships in data, our approach allows for more precise exploitation of the information on feature and sample coincidences. The solution was tested using two scenarios: undersampling for imbalanced classification data and feature selection. 2023-03-31T01:23:41Z 2023-03-31T01:23:41Z 2023 Book https://link.springer.com/article/10.1007/s10115-022-01786-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7353 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Hypergraph-based Importance
hypergraph-based framework
spellingShingle Hypergraph-based Importance
hypergraph-based framework
Pawel, Misiorek
Szymon, Janowski
Hypergraph-based importance assessment for binary classification data
description CC BY
format Book
author Pawel, Misiorek
Szymon, Janowski
author_facet Pawel, Misiorek
Szymon, Janowski
author_sort Pawel, Misiorek
title Hypergraph-based importance assessment for binary classification data
title_short Hypergraph-based importance assessment for binary classification data
title_full Hypergraph-based importance assessment for binary classification data
title_fullStr Hypergraph-based importance assessment for binary classification data
title_full_unstemmed Hypergraph-based importance assessment for binary classification data
title_sort hypergraph-based importance assessment for binary classification data
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10115-022-01786-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7353
_version_ 1761912523496357888
score 8.881002

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